Library

[Slon]

Spring Framework MasterClass - from basics to advanced
Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: aac, 44100 Hz
Language: English | Size: 5.89 GB | Duration: 9.5 hours


What you'll learn
Spring framework as a factory of beans
Dependency injection
Inversion of control
Different types of components
Component scan
Manual Vs auto wiring
Apache database connection pool
Creating DAO layer classes
JdbcTemplate
Using Lombok
HibernateTemplate
Aspect oriented programming (AOP)
Transaction management
Spring MVC
Working with forms in Spring MVC
Form validation
ReSTful services (API) using Spring framework

Requirements
Basic knowledge of core Java programming
Basic knowledge of HTML/CSS/JSP is enough
Basic knowledge about databases
Absolutely no prior experience in Spring framework or any MVC application development
Description
Spring Framework 5 is the THE RIGHT TECHNOLOGY STACK FOR THE JOB AT HAND.

This course offers hands-on experience with Spring and its major features, including configuration, data access, web and REST applications, Spring Boot, Spring Security and using Spring Cloud to build a small microservices application. On completion, participants will have a foundation for creating enterprise-ready applications. This Spring training course is the best way to prepare for the Spring Professional certification exam.

Upon completion of this course, participants will understand how to implement the following:

Spring configuration using Java Configuration and Annotations

Aspect oriented programming with Spring

Spring Data Access - JDBC, JPA and Spring Data

Spring Transaction Management

Build a very powerful MVC web application using Spring

Implementing REST with Spring MVC

The Spring Framework 5 provides a comprehensive programming and configuration model for modern Java-based enterprise applications - on any kind of deployment platform.

A key element of Spring is infrastructural support at the application level: Spring focuses on the "plumbing" of enterprise applications so that teams can focus on application-level business logic, without unnecessary ties to specific deployment environments.

Features

Core technologies: dependency injection, events, resources, i18n, validation, data binding, type conversion, SpEL, AOP.

Testing: mock objects, TestContext framework, Spring MVC Test, WebTestClient.

Data Access: transactions, DAO support, JDBC, ORM, Marshalling XML.

Spring MVC and Spring WebFlux web frameworks.

Integration: remoting, JMS, JCA, JMX, email, tasks, scheduling, cache.

Languages: Kotlin, Groovy, dynamic languages. (We will be using Java)

Here are some of the 5-star rated feedbacks given by my students (consolidated from different courses):

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Passionate Trainer. Very Simple and Insightful course. I will HIGHLY HIGHLY recommend this course for tho Who suggest implementing REST through Java-Jersey or love to try a different way of REST implementations.

(Rukmini Vasudev)

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I am having a fantastic experience so far (~68%). Thanks to Vinod Sir's clear (and simple) explanation, i have a fully functional, visually appealing movie browser app in my PC now and am looking forward to complete the, more exciting, PWA part and hosting it on the internet.

Pros:

* Step-by-step, clear explanation

* Well-prepared, knowledgeable instructor, hence no time wasting and thereby could pack so much content into just 2 hours

* Excellent audio quality and engaging voice and English diction

* Adequate font size and zoom

* Although himself using Mac, makes it a point to tell without fail the corresponding commands for us Windows users

* Full source code provided so that we can compare in case we get stuck while coding along

* Very speedy response in Q&A section

* Learning Angular is considered difficult, but it doesn't seem so with this course :-)

Prospective students considering enrolling, make note: An overall rating of 4.4 for 9 courses (with each having a rating over 4) with over 12,000 students says it all! Besides you will seldom find an instructor so helpful; for example, in his another Angular course, a thread in Q&A section is 34 replies long--that too not for any deficit in his teaching but about NPM INSTALL doubts, which probably other instructors would have not answered at all or asked to google. And he offers to debug the code via TeamViewer, phone call, or receiving the zipped project via email or Google Drive--can you believe it! So, just hit the enroll button!

(Umesh Krishna Jois)

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Best instructor and best trainer on Udemy. Quick Response and very friendly .i have been checked out many angularJS courses (very long tutorials) around 30 hours on Udemy. but vinod Sir within 5 & 6 hours who taught every things very simple.he has good knowledge and good experience on Teaching method.i recommend this course .?? (Sithat iffazer)

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This is a great and simple course for beginners. Wish the Author build more courses like this for angular 7. With a real DB, auth etc... Thanks and ThumbUp

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The Course was clear and concise and touches upon the important Angular features. (Harsh Kedia)

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Step by step learning,explain everything easy and clear. Perfect for beginners! (Dragan Stevanovic)

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I have not yet completed the course. But I am very much confident, after completing this course, it would be wonderful experience. So far it's going very well. This course is simply superb. The tutor - Vinod, is simply great. He explained difficult concepts in a simplest way. He knows how to make a teaching session an interesting and informative one. Thanks to you Udemy for this opportunity and special thanks to Vinod. (Venkatesh)

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Very helpful. I like the way trainer Vinod makes things so simple to understand. (Robinet Gimlet)

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Very detail oriented. Explained all possible ways in each section i.e. environment setup(eclipse, tomcat, h2 DB), application development to deployment, testing with postman, error handling, eclipse shortcuts. (Hemalatha Bhimavarapu)

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I got to learn so many new things from this course and very well explained, Thank you! (Tushar Patil)

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It is very well and detailed any one can understand and learn the course. I would recommend it to others. (Ashwini Iyer)

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Great Course, the instructor was easy to follow and help me understand the subject better. Thank u. (Aida Hailu)

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So, see you inside the course,

Vinod.

Who this course is for:
Any Java developer aspiring to upgrade to Spring framework
Java Web developer looking to understand MVC
Anyone who is looking to understand REST APIs
People who want to work with Spring boot
Developers who want to learn Spring Cloud and Netflix OSS

Homepage

Code:

https://anonymz.com/?https://www.udemy.com/course/spring-framework-masterclass-from-basics-to-advanced/

Code:

https://nitroflare.com/view/7EBCB2BAB6EC820/Spring_Framework_MasterClass_-_from_basics_to_advanced.part1.rar
https://nitroflare.com/view/E0EC4C8A9FECB09/Spring_Framework_MasterClass_-_from_basics_to_advanced.part2.rar
https://nitroflare.com/view/DF6C69F8CBBAA7F/Spring_Framework_MasterClass_-_from_basics_to_advanced.part3.rar
https://nitroflare.com/view/DD57D016A8AADB5/Spring_Framework_MasterClass_-_from_basics_to_advanced.part4.rar
https://nitroflare.com/view/7869C28DA5D67D4/Spring_Framework_MasterClass_-_from_basics_to_advanced.part5.rar
https://nitroflare.com/view/C2A4D95BAFF14C8/Spring_Framework_MasterClass_-_from_basics_to_advanced.part6.rar

Code:

https://rapidgator.net/file/27b0e03105f481914b930d2bb6b42754/Spring_Framework_MasterClass_-_from_basics_to_advanced.part1.rar.html
https://rapidgator.net/file/3326d4d3d7cd6fcd0012bc18e0b04165/Spring_Framework_MasterClass_-_from_basics_to_advanced.part2.rar.html
https://rapidgator.net/file/b5985d3c720745ba7d1774cf8dba6021/Spring_Framework_MasterClass_-_from_basics_to_advanced.part3.rar.html
https://rapidgator.net/file/9c04f762025126773437a6e593c321a8/Spring_Framework_MasterClass_-_from_basics_to_advanced.part4.rar.html
https://rapidgator.net/file/0beb76587c6ed16fcba972be1e3ffbc8/Spring_Framework_MasterClass_-_from_basics_to_advanced.part5.rar.html
https://rapidgator.net/file/1018448e13c060b3d7cca841eea0fbff/Spring_Framework_MasterClass_-_from_basics_to_advanced.part6.rar.html

[Slon]

TTC Video - The Pagan World: Ancient Religions Before Christianity
Video: .MP4, AVC, 1150 kbps, 854x480 | Audio: English, AAC, 96 kbps, 2 Ch | Duration: 24x31 mins | 6.72 GB
Course No. 2852 | Lecturer: Hans-Friedrich Mueller, Ph.D. | + PDF Guidebook

At home and on the battlefield, the leaders of ancient Rome knew their world was filled with signs from the gods, messages they needed to obey if they wanted success. Yes, they developed a well-oiled political and military machine, but they never made big decisions or went to battle without their priests and diviners.

Full Description

As the famous Roman historian Livy put it: "This city was established with auspices. Who does not know that in war or peace at home or on military campaign all our affairs are conducted with auspices?" What were these auspices so crucial to the affairs of an empire? Auspices-from the Latin, meaning "one who looks at birds"-were signs from the gods revealed in the patterns of bird flight, as interpreted by the augur, a priest.

When we think about the Roman Empire, we tend to visualize massive armies conquering and plundering the peoples of the Mediterranean world. In fact, many have attributed the empire's 1,000-year reign directly to their well-organized military might. But that's not what the Romans thought; Roman leaders consistently ascribed the foundation of their success directly to their superior skills in religious practices.

In The Pagan World: Ancient Religions before Christianity, you will meet the fascinating, polytheistic peoples of the ancient Mediterranean and beyond, their many gods and goddesses, and their public and private worship practices, as you come to better understand the foundational role religion played in their lives. Professor Hans-Friedrich Mueller, of Union College in Schenectady, New York, makes this ancient world come alive in 24 lectures brimming with captivating stories and intriguing personalities, as well as artifacts, illustrations, and detailed quotes and descriptions from a treasure trove of original sources.

Fascinating Picture of Ancient Polytheistic Life

In the ancient Mediterranean world, religion was not separate from daily life. To the contrary, religion was daily life. These polytheists believed they had a strict contract with their deities: If they took care of their gods, their gods would take care of them. That meant following numerous rules and regulations that circumscribed almost all aspects of life both inside and outside the home. Consequently, their religion makes a wonderful lens through which to achieve a deeper understanding of their world.

Unlike modern religions that describe and even compel specific behavior between individuals, these gods weren't as interested in policing morality. So, what about care for fellow humans? Or limits on sexual activity? Or even faith itself? Often these were not major concerns. Where the state took an interest, appropriate laws were passed and enforced. But the gods themselves traditionally judged these mortals primarily by the quantity and quality of their worship.

Those rules became the foundation of the state religion because leaders knew they could not be successful if their subjects were displeasing the gods. Consequently, they built extraordinary temples to honor their many deities, brought food and wine to them, sacrificed animals for them, and held sacred meals in the gods' names-anything and everything to keep them happy.

Architecture, particularly remnants of temples, provide one source of our knowledge about these peoples and their practices-from the sanctuaries of Asklepios and Apollo to the Parthenon to the Caves of Mithras, and beyond. Professor Mueller, a scholar of Greek, Latin, and ancient history, is passionate about this period of history. In The Pagan World: Ancient Religions before Christianity, he discusses these extraordinary temple constructions and gives detailed descriptions from primary sources of intriguing personalities, including:

Art-Statuary, friezes, painting, mosaics, and vases throughout the Roman Empire;
Inscriptions-Pyramid texts and coffin texts found in Egypt ; and
Literature-Writings of philosophers, historians, and politicians, such as Cicero, Euripides, Homer, Lucretius, Livy, Ovid, Plato, Sophocles, and the Rigveda (a text that would become an integral part of Hinduism).

The Benefits of Divination

The many gods of this ancient world were everywhere, with spirits inhabiting every crack and crevice of life. Names of the many gods included:

Vesta, goddess of the family hearth;
Venus, goddess of sex;
Mars, god of the agricultural and military fields;
Maia, goddess of nature;
Limentinus, god of the threshold; and
Cardea, goddess of the door hinges.

Who could interpret the signs from all these deities? Even the common person could understand some. For example, did someone sneeze? Did the sacrificial animal walk willingly to the altar? If not, the gods were not interested. Did the altar burn brightly or did the flame sputter, full of smoke? Did the chickens eat greedily before the battle? Did Jupiter cause thunder and lightning in the midst of a political assembly . on a sunny day? These and other portents were viewed as a serious form of communication between humanity and the divine.

In addition, the Roman Empire had a panoply of priests, pontiffs, and augurs to interpret signs and hired Etruscan haruspices who were specially trained to "read" the entrails of sacrificed animals, particularly the livers. This was crucial; knowing how to compare what was seen inside the sacrificial animal to what was seen out in the world brought mortals and their gods into communion.

But the leadership didn't always agree on the interpretation of signs. And at this intersection of religion and politics, there were definite benefits of divination. The difficulty of interpreting portents and signs provided a forum for discussion and debate. Those conversations fostered creative approaches to a range of possible solutions. Rather than divide society, religious debate helped move people toward consensus.

Acceptance of Other Religions

It may feel like the modern, technology-driven world of today invented globalism. But the ancient peoples of the Near East, Greece, Asia Minor, and the entire Mediterranean had already created globalism as they traded with one another, spoke with each other, borrowed (and stole) ideas, and knew each other's cultures well. And nowhere is this more apparent than in religious practices.

For example, Roman leadership took a pragmatic position toward the unfamiliar faiths they incorporated into their territory. The newly conquered were allowed to practice their former religion-as long as their worship did not clash with the state-sanctioned religion or Roman rule. Conquest also led to rich innovations within religion as Roman society incorporated new gods and practices from the religions of their conquered peoples, including:

Worship of the Greek gods (with new Latin names);
The cult of Isis, which originated in Egypt and spread throughout the empire;
The cult of Mithras, which originated in Persia and was particularly popular among the Roman soldiers; and
Manichaeism, which also originated in Persia and addressed the duality of good and evil.

Rome did not accept all religions, however; they would not tolerate practices that went directly against the law of the land. Consequently, problems were bound to arise between the authority of the state and the worshippers of Bacchus, Druids, Jews, and Christians-something history has since proved.

We know that Christianity, Judaism, and ., still exist in the present day-but so do some ancient, polytheistic religions, at least in some forms. Not only has there been some resurgence in the interest and practice of pagan and polytheistic religions in modern times, but the Rigveda, a collection of hymns from this ancient period, eventually became one of the four sacred texts of Hinduism-one of the most populous and influential religions of the world today. Monotheism may have become predominant in much of the world, but ancient practices and beliefs live on in our culture and many others-in stories and myths as well as in practice and faith.

Homepage

Code:

http://anonymz.com/?https://www.thegreatcourses.com/courses/the-pagan-world-ancient-religions-before-christianity.html

Code:

https://nitroflare.com/view/017E56028763110/The_Pagan_World.part1.rar
https://nitroflare.com/view/1DE47194F1C34EF/The_Pagan_World.part2.rar
https://nitroflare.com/view/E9421EE8CC1DCC8/The_Pagan_World.part3.rar
https://nitroflare.com/view/796C2F37AD5A0F7/The_Pagan_World.part4.rar
https://nitroflare.com/view/4D5DA83A4E9AF87/The_Pagan_World.part5.rar
https://nitroflare.com/view/D2570DE50AAE992/The_Pagan_World.part6.rar
https://nitroflare.com/view/E07D4872DAA39F5/The_Pagan_World.part7.rar

Code:

https://rapidgator.net/file/f1c027741683e80d581e02803b86db52/The_Pagan_World.part1.rar.html
https://rapidgator.net/file/3bdfea07d959b75d50326c9cf53ec7f4/The_Pagan_World.part2.rar.html
https://rapidgator.net/file/950bfedf57c316d077565098ac3c658c/The_Pagan_World.part3.rar.html
https://rapidgator.net/file/2343198af0924d17018d278aea576d05/The_Pagan_World.part4.rar.html
https://rapidgator.net/file/23488692ae9bc268c5f3b533270cc2d5/The_Pagan_World.part5.rar.html
https://rapidgator.net/file/a5d2be41ea683ef6a2fe68cf96531038/The_Pagan_World.part6.rar.html
https://rapidgator.net/file/5b4ea4633dfde82af5ee3d9f70a03baa/The_Pagan_World.part7.rar.html

[Slon]

Learn How to Breakdance and Rule The Dance Floor
BestSeller | h264, yuv420p, 1280x720 |ENGLISH, aac, 44100 Hz, 1 channels | 10h 23 mn | 8.27 GB
Created by: Emeroy Bernardo

The simple, step-by-step guide in teaching you how to breakdance for ABSOLUTE BEGINNERS
What you'll learn

Teach you the complete foundation of breakdancing/b-boying.
Be able to create your own freestyle
Syncopate moves to music
Build confidence in your own dance ability
Over 40 Lectures for You To Learn
How To Dance For Beginners

Requirements

Room To Dance
Patience
Discipline
Be willing to make mistakes
Loves hard work
Always do your best

Description

Learn how to breakdance in just 4 weeks with NO DANCE EXPERIENCE

Have you ever.

. wanted to learn how to breakdance like your favorite dancers in World of Dance but felt like you weren't strong enough or the coordination to learn?

Would you like to learn how to breakdance but you feel like you're too old or too shy to dance?

Would you feel excited if I showed simple breakdance moves, exercises, and routines that teach you how to dance AND get stronger in the comfort of your own home.

How does that sound/look/feel?

Well, you're in luck my friend! In this course you'll be learning the EASIEST moves to learn but LOOK hard so you look like you've been doing this dance for months.

If you've World of Dance or any amazing dancers like Kinjaz, Jabbawockees, Les Twins, they all started at the same place: THE BEGINNING.

I designed this course for ABSOLUTE BEGINNERS. That means NO DANCE EXPERIENCE NEEDED.

Now if you're ready and you're excited to learn more about your course, let me give you a little taste.

How does that sound?

You excited? Good!

Here's what I'll be teaching you:

Daily moves that will help build your coordination and strength

Complex moves that are actually insanely EASY to learn.

How to stay on beat with the music.

Basic strength and flexibility exercises to make your body stronger for this dance.

Step-by-step exercises to start building your confidence in dancing.

The focus of this class:

You feeling good about yourself by learning basic dance steps that build your strength and coordination.

I take you through daily moves that are broken down to the finest detail so you can perform it in your very own home.

Whether you're looking for moves to show off on the dance floor or moves to show off on stage, this class is perfect for you.

By the end of this class, you'll be able to dance these moves with ease and feel confident in showing them off!

Can you imagine how learning how to breakdance will do for you?

Imagine in the near future how you'll feel when everyone you know is surprised by the new moves you've learned and the confidence you've gained.

And that starts with you making a choice.

You've gotten a great idea of how the course works by now, and I hope you're ready and feeling excited. Enroll now to get stared on your class.

Who this course is for:

For dancers of all ages
For people who are interested in breakdancing
For those who want to show off some cool moves to friends and family
For those who want to take their dancing to a new level

Homepage

Code:

http://anonymz.com/?https://www.udemy.com/course/how-to-breakdance-for-beginners/

Code:

https://nitroflare.com/view/CA11CC75F4F0C61/how-to-breakdance-for-beginners.part01.rar
https://nitroflare.com/view/D19F3075D78F1EF/how-to-breakdance-for-beginners.part02.rar
https://nitroflare.com/view/9C9B2E742D725BF/how-to-breakdance-for-beginners.part03.rar
https://nitroflare.com/view/AE00DD4A850B21C/how-to-breakdance-for-beginners.part04.rar
https://nitroflare.com/view/1DA6BB765E22C60/how-to-breakdance-for-beginners.part05.rar
https://nitroflare.com/view/C7FEE2ECE464747/how-to-breakdance-for-beginners.part06.rar
https://nitroflare.com/view/F6827410880AF51/how-to-breakdance-for-beginners.part07.rar
https://nitroflare.com/view/813AEB2A144E0BD/how-to-breakdance-for-beginners.part08.rar
https://nitroflare.com/view/20357400FC6C038/how-to-breakdance-for-beginners.part09.rar

Code:

https://rapidgator.net/file/4a4f3edc118dfcbee6ccbfe93807828f/how-to-breakdance-for-beginners.part01.rar.html
https://rapidgator.net/file/ab424c36d79b5241fff21e2268a19d36/how-to-breakdance-for-beginners.part02.rar.html
https://rapidgator.net/file/ca03d3fd4a816411f5a45758ebe15443/how-to-breakdance-for-beginners.part03.rar.html
https://rapidgator.net/file/47023238cb90b69e5608eac5bd40c488/how-to-breakdance-for-beginners.part04.rar.html
https://rapidgator.net/file/48b7382ac91d1342079f8ac4ef57f9cb/how-to-breakdance-for-beginners.part05.rar.html
https://rapidgator.net/file/3a37d07032ebf71c4c3c74d6e74f0493/how-to-breakdance-for-beginners.part06.rar.html
https://rapidgator.net/file/3a3f07d2f0a101177715a7586656ac1e/how-to-breakdance-for-beginners.part07.rar.html
https://rapidgator.net/file/5ef883e9df6600c280ff9c8126dcaa81/how-to-breakdance-for-beginners.part08.rar.html
https://rapidgator.net/file/fa2733ece23b4bd116a97dac94330ce1/how-to-breakdance-for-beginners.part09.rar.html

[Slon]

Your Mind-Body Journey Towards Wellness
Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: aac, 48000 Hz
Language: English | Size: 6.48 GB | Duration: 5 hours


What you'll learn
How both the mind and the body are intimately connected to ensure overall wellness

Requirements
Students would benefit from a reasonable competency in English although understanding is simplified through regular on-screen captions during each video as well as a full course transcript..
Description
'Your Mind-Body Journey Towards Wellness' explores the incredible relationship between the mind and the body as it relates to your health. The course is comprised of 24 professionally-presented lectures which run for a total of 5 hours and 15 minutes. Each lecture is a mixture of the presenter, together with stunning videos and photographs, as well as on-screen captions for ease of understanding. Every one of the 24 lectures comes with its own downloadable transcript which you can read at your leisure and refer to in order to help you with each of the quizzes and the final practice test. The course is comprised of 5 multiple-choice quizzes on each of the first 5 sections and a practise test of 60 multiple-choice questions at the end of the course.

Who this course is for:
Students for this course will be those who have a keen interest in maintaining a healthy body and mind, and who are willing to explore beyond the limitations of the physical body to ensure their overall physical and mental wellness.

Homepage

Code:

https://anonymz.com/?https://www.udemy.com/course/your-mind-body-journey-towards-wellness/

Code:

https://nitroflare.com/view/0F0BD55365C48ED/Your_Mind-Body_Journey_Towards_Wellness.part1.rar
https://nitroflare.com/view/8570815CAB00E0C/Your_Mind-Body_Journey_Towards_Wellness.part2.rar
https://nitroflare.com/view/45CFF6F451C695D/Your_Mind-Body_Journey_Towards_Wellness.part3.rar
https://nitroflare.com/view/A1CB9127EFEF07D/Your_Mind-Body_Journey_Towards_Wellness.part4.rar
https://nitroflare.com/view/8EC057FB1A4E98B/Your_Mind-Body_Journey_Towards_Wellness.part5.rar
https://nitroflare.com/view/B18E1BC0E51076F/Your_Mind-Body_Journey_Towards_Wellness.part6.rar
https://nitroflare.com/view/DB2C90714AEFE9D/Your_Mind-Body_Journey_Towards_Wellness.part7.rar

Code:

https://rapidgator.net/file/66cebcc0b09bbe2a35322213da20daa7/Your_Mind-Body_Journey_Towards_Wellness.part1.rar.html
https://rapidgator.net/file/daac82c95f22dfa00e5ae1ed9cf12d30/Your_Mind-Body_Journey_Towards_Wellness.part2.rar.html
https://rapidgator.net/file/22abdb6d3d54ec2db89311c11dcb40a4/Your_Mind-Body_Journey_Towards_Wellness.part3.rar.html
https://rapidgator.net/file/94c58a50888ad047f1cbb251bb2e0972/Your_Mind-Body_Journey_Towards_Wellness.part4.rar.html
https://rapidgator.net/file/c746216d9913957c0fd1dbb817343f23/Your_Mind-Body_Journey_Towards_Wellness.part5.rar.html
https://rapidgator.net/file/9fa4aa4da0fbd43157b297ab62c7d92b/Your_Mind-Body_Journey_Towards_Wellness.part6.rar.html
https://rapidgator.net/file/c02f98d4c443f8502d5d52cf0d691a02/Your_Mind-Body_Journey_Towards_Wellness.part7.rar.html

[Slon]

Complete Deep Learning In R With Keras & Others
h264, yuv420p, 1280x720 |ENGLISH, aac, 44100 Hz, stereo | 7h 55 mn | 5.67 GB
Created by: Minerva Singh

Deep Learning: Master Powerful Deep Learning Tools in R Like Keras, Mxnet, H2O and Others
What you'll learn

Be Able To Harness The Power Of R For Practical Data Science
Master The Theory Of Artificial Neural Networks (ANN) and Deep Neural Networks (DNN)
Implement ANN For Classification & Regression Problems In R
Learn The Implementation Of Both ANN & DNN Using The H2o Package Of R Programming Language
Learn The Implementation Of Both ANN & DNN Using The MxNet Package Of R Programming Language
Introduction to Convolutional Neural Networks (CNN) For Imagery Classification
Implement CNNs Using Keras

Requirements

Be Able To Operate & Install Software On A Computer
Prior Exposure To Common Machine Learning Terms Such As Unsupervised & Supervised Learning
Prior Exposure To What Neural Networks Are & What They Can Be Used For

Description

YOUR COMPLETE GUIDE TO ARTIFICIAL NEURAL NETWORKS & DEEP LEARNING IN R:

This course covers the main aspects of neural networks and deep learning. If you take this course, you can do away with taking other courses or buying books on R based data science.

In this age of big data, companies across the globe use R to sift through the avalanche of information at their disposal. By becoming proficient in neural networks and deep learning in R, you can give your company a competitive edge and boost your career to the next level!

LEARN FROM AN EXPERT DATA SCIENTIST:

My name is Minerva Singh and I am an Oxford University MPhil (Geography and Environment) graduate. I recently finished a PhD at Cambridge University.

I have +5 years of experience in analyzing real life data from different sources using data science related techniques and producing publications for international peer reviewed journals.

Over the course of my research I realized almost all the R data science courses and books out there do not account for the multidimensional nature of the topic .

This course will give you a robust grounding in the main aspects of practical neural networks and deep learning.

Unlike other R instructors, I dig deep into the data science features of R and give you a one-of-a-kind grounding in data science...

You will go all the way from carrying out data reading & cleaning to to finally implementing powerful neural networks and deep learning algorithms and evaluating their performance using R.

Among other things:

You will be introduced to powerful R-based deep learning packages such as h2o and MXNET.

You will be introduced to deep neural networks (DNN), convolution neural networks (CNN) and unsupervised methods.

You will learn how to implement convolutional neural networks (CNN)s on imagery data using the Keras framework

You will learn to apply these frameworks to real life data including credit card fraud data, tumor data, images among others for classification and regression applications.

With this course, you'll have the keys to the entire R Neural Networks and Deep Learning Kingdom!

NO PRIOR R OR STATISTICS/MACHINE LEARNING KNOWLEDGE IS REQUIRED:

You'll start by absorbing the most valuable R Data Science basics and techniques. I use easy-to-understand, hands-on methods to simplify and address even the most difficult concepts in R.

My course will help you implement the methods using real data obtained from different sources. Many courses use made-up data that does not empower students to implement R based data science in real-life.

After taking this course, you'll easily use data science packages like caret, h2o, mxnet, keras to implement novel deep learning techniques in R. You will get your hands dirty with real life data, including real-life imagery data which you will learn to pre-process and model

You'll even understand the underlying concepts to understand what algorithms and methods are best suited for your data.

We will also work with real data and you will have access to all the code and data used in the course.

JOIN MY COURSE NOW!
Who this course is for:

People Wanting To Master The R & R Studio Environment For Data Science
Anyone With Prior Exposure To Common Machine Learning Concepts Such As Supervised Learning
Students Wishing To Learn The Implementation Of Neural Networks On Real Data In R
Students Wishing To Learn The Implementation Of Basic Deep Learning Concepts In R

Homepage

Code:

http://anonymz.com/?https://www.udemy.com/course/complete-deep-learning-in-r-with-keras-others/

Code:

https://nitroflare.com/view/953CE5086366CAF/complete-deep-learning-in-r-with-keras-others.part1.rar
https://nitroflare.com/view/266922F55B0FC73/complete-deep-learning-in-r-with-keras-others.part2.rar
https://nitroflare.com/view/106DC99AB3ABDE1/complete-deep-learning-in-r-with-keras-others.part3.rar
https://nitroflare.com/view/67798F6BBAA10F5/complete-deep-learning-in-r-with-keras-others.part4.rar
https://nitroflare.com/view/7A932A1C5D615EB/complete-deep-learning-in-r-with-keras-others.part5.rar
https://nitroflare.com/view/E3679C43F242C28/complete-deep-learning-in-r-with-keras-others.part6.rar

Code:

https://rapidgator.net/file/821e46047ed4c9bcc2c7e9737eadbbb2/complete-deep-learning-in-r-with-keras-others.part1.rar.html
https://rapidgator.net/file/25cd83bca05a6f6552e0a49536050406/complete-deep-learning-in-r-with-keras-others.part2.rar.html
https://rapidgator.net/file/78d8b6f995578bcf224eb8c38f01ab7a/complete-deep-learning-in-r-with-keras-others.part3.rar.html
https://rapidgator.net/file/4e4de53db43ef67f527db7c88d9dbfcb/complete-deep-learning-in-r-with-keras-others.part4.rar.html
https://rapidgator.net/file/008588ba41c6717de556e63c296c3637/complete-deep-learning-in-r-with-keras-others.part5.rar.html
https://rapidgator.net/file/e66d50d876c358dafd3ca3fde32810de/complete-deep-learning-in-r-with-keras-others.part6.rar.html

[Slon]

Data Science 2020 : Complete Data Science & Machine Learning
h264, yuv420p, 1280x720 |ENGLISH, aac, 48000 Hz, 2 channels | 26h 11 mn | 10.78 GB
Created by: Jitesh Khurkhuriya, Jitesh's Data Science & Machine Learning A-Z Team

Machine Learning A-Z, Data Science, Python for Machine Learning, Math for Machine Learning, Statistics for Data Science
What you'll learn

Learn Complete Data Science skillset required to be a Data Scientist with all the advance concepts
Master Python Programming from Basics to advance as required for Data Science and Machine Learning
Learn complete Mathematics of Linear Algebra, Calculus, Vectors, Matrices for Data Science and Machine Learning.
Become an expert in Statistics including Descriptive and Inferential Statistics.
Learn how to analyse the data using data visualization with all the necessary charts and plots
Perform data Processing using Pandas and ScikitLearn
Master Regression with all its parameters and assumptions
Solve a Kaggle project and see how to achieve top 1 percentile
Learn various classification algorithms such as Logistic Regression, Decision Tree, Random Forest, Support Vector Machines
Get complete understanding of deep learning using Keras and Tensorflow
Become the Pro by learning Feature Selection and Dimensionality Reduction

Requirements

No prerequisites. I will teach right from basics in Python to Advanced Deep Learning
Passion to deal with data analysis

Description

Data Science and Machine Learning are the hottest skills in demand but challenging to learn. Did you wish that there was one course for Data Science and Machine Learning that covers everything from Math for Machine Learning, Advance Statistics for Data Science, Data Processing, Machine Learning A-Z, Deep learning and more?

Well, you have come to the right place. This Data Science and Machine Learning course has 250+ lectures, more than 25+ hours of content, 11 projects including one Kaggle competition with top 1 percentile score, code templates and various quizzes.

Today Data Science and Machine Learning is used in almost all the industries, including automobile, banking, healthcare, media, telecom and others.

As the Data Science and Machine Learning practioner, you will have to research and look beyond normal problems, you may need to do extensive data processing. experiment with the data using advance tools and build amazing solutions for business. However, where and how are you going to learn these skills required for Data Science and Machine Learning?

Data Science and Machine Learning require in-depth knowledge of various topics. Data Science is not just about knowing certain packages/libraries and learning how to apply them. Data Science and Machine Learning require an indepth understanding of the following skills,

Understanding of the overall landscape of Data Science and Machine Learning

Different types of Data Analytics, Data Architecture, Deployment characteristics of Data Science and Machine Learning projects

Python Programming skills which is the most popular language for Data Science and Machine Learning

Mathematics for Machine Learning including Linear Algebra, Calculus and how it is applied in Machine Learning Algorithms as well as Data Science

Statistics and Statistical Analysis for Data Science

Data Visualization for Data Science

Data processing and manipulation before applying Machine Learning

Machine Learning

Ridge (L2), Lasso (L1) and Elasticnet Regression/ Regularization for Machine Learning

Feature Selection and Dimensionality Reduction for Machine Learning models

Machine Learning Model Selection using Cross Validation and Hyperparameter Tuning

Cluster Analysis for unsupervised Machine Learning

Deep Learning using most popular tools and technologies of today.

This Data Science and Machine Learning course has been designed considering all of the above aspects, the true Data Science and Machine Learning A-Z Course. In many Data Science and Machine Learning courses, algorithms are taught without teaching Python or such programming language. However, it is very important to understand the construct of the language in order to implement any discipline including Data Science and Machine Learning.

Also, without understanding the Mathematics and Statistics it's impossible to understand how some of the Data Science and Machine Learning algorithms and techniques work.

Data Science and Machine Learning is a complex set of topics which are interlinked. However, we firmly believe in what Einstein once said,

"If you can not explain it simply, you have not understood it enough."

As an instructor, I always try my level best to live up to this principle. This is one comprehensive course on Data Science and Machine Learning that teaches you everything required to learn Data Science and Machine Learning using the simplest examples with great depth.

As you will see from the preview lectures, some of the most complex topics are explained in a simple language.

Some of the key skills you will learn,

Python Programming

Python has been ranked as the #1 language for Data Science and Machine Learning. It is easy to use and is rich with various libraries and functions required for performing various tasks for Data Science and Machine Learning. Moreover, it is the most preferred and default language of use for many Deep Learning frameworks including Tensorflow and Keras.

Advance Mathematics for Machine Learning

Mathematics is the very basis for Data Science in general and Machine Learning in particular. Without understanding the meanings of Vectors, Matrices, their operations as well as understanding Calculus, it is not possible to understand the foundation of the Data Science and Machine Learning. Gradient Descent which forms the very basis of Neural Network and Machine Learning is built upon the basics of Calculus and Derivatives.

Advance Statistics for Data Science

It is not enough to know only mean, median, mode etc. The advance techniques of Data Science and Machine Learning such as Feature Selection, Dimensionality Reduction using PCA are all based on advance inferential statistics of Distributions and Statistical Significance. It also helps us understanding the data behavior and then apply an appropriate machine learning technique to get the best result from various techniques of Data Science and Machine Learning.

Data Visualization

As they say, picture is worth a thousand words. Data Visualization is one of the key techniques of Data Science and Machine Learning and is used for Exploratory Data Analysis. In that, we visually analyse the data to identify the patterns and trends. We are going to learn how to create various plots and charts as well as how to analyse them for all the practical purposes. Feature Selection plays a key role in Machine Learning and Data Visualisation is key for it.

Data Processing

Data Science require extensive data processing. Data Science and Machine Learning practitioners spend more than 2/3rd of the time processing and analysing the data. Data can be noisy and is never in the best shape and form. Data Processing is one of the key disciplines of Data Science and Machine Learning to get the best results. We will be using Pandas which is the most popular library for data processing in Python and various other libraries to read, analyse, process and clean the data.

Machine Learning

The heart and soul of Data Science is the predictive ability provided by the algorithms from Machine Learning and Deep Learning. Machine Learning takes the overall discipline of Data Science ahead of others. We will combine everything we would learn from the previous sections and build various machine learning models. The key aspects of the Machine Learning is not just about the algorithms but also understanding various parameters used by Machine Learning algorithms. We will understand all the key parameters and how their values impact the outcome so that you can build the best machine learning models.

Feature Selection and Dimensionality Reduction

In case you wonder, what makes a good data scientists, then this section is the answer. A good Data Science and Machine Learning practitioner does not just use libraries and code few lines. She will analyse every feature of the data objectively and choose the most relevant ones based on statistical analysis. We will learn how to reduce the number of features as well as how we can retain the value in the data when we practice and build various machine learning models after applying the principles of Feature Selection and Dimensionality Reduction using PCA.

Deep Learning

You can not become a good Data Science and Machine Learning practitioner, if you do not know how to build powerful neural network. Deep Learning can be said to be another kind of Machine Learning with great power and flexibility. After Learning Machine Learning, we are going to learn some key fundamentals of Deep Learning and build a solid foundation first. We will then use Keras and Tensorflow which are the most popular Deep Learning frameworks in the world.

Kaggle Project

As an aspiring Data Scientists, we always wish to work on Kaggle project for Machine Learning and achieve good results. I have spent huge effort and time in making sure you understand the overall process of performing a real Data Science and Machine Learning project. This is going to be a good Machine Learning challenge for you.

Your takeaway from this course,

Complete hands-on experience with huge number of Data Science and Machine Learning projects and exercises

Learn the advance techniques used in the Data Science and Machine Learning

Certificate of Completion for the most in demand skill of Data Science and Machine Learning

All the queries answered in shortest possible time.

All future updates based on updates to libraries, packages

Continuous enhancements and addition of future Machine Learning course material

All the knowledge of Data Science and Machine Learning at fraction of cost

This Data Science and Machine Learning course comes with the Udemy's 30-Day-Money-Back Guarantee with no questions asked.

So what you are waiting for? Hit the "Buy Now" button and get started on your Data Science and Machine Learning journey without spending much time.

I am so eager to see you inside the course.

Disclaimer: All the images used in this course are either created or purchased/downloaded under the license from the provider, mostly from Shutterstock or Pixabay.
Who this course is for:

Beginners as well as advance programmers who want to make a career in Data Science and Machine Learning

Homepage

Code:

http://anonymz.com/?https://www.udemy.com/course/complete-data-science-and-machine-learning-using-python/

Code:

https://nitroflare.com/view/3071166C1AACC7A/complete-data-science-and-machine-learning-using-python.part01.rar
https://nitroflare.com/view/F8E5B9A3A50F118/complete-data-science-and-machine-learning-using-python.part02.rar
https://nitroflare.com/view/1D7E97E96DB699C/complete-data-science-and-machine-learning-using-python.part03.rar
https://nitroflare.com/view/9958A09041B94DB/complete-data-science-and-machine-learning-using-python.part04.rar
https://nitroflare.com/view/410A24A1141D5F8/complete-data-science-and-machine-learning-using-python.part05.rar
https://nitroflare.com/view/28A3F7590C08F5B/complete-data-science-and-machine-learning-using-python.part06.rar
https://nitroflare.com/view/99C70019FABBC48/complete-data-science-and-machine-learning-using-python.part07.rar
https://nitroflare.com/view/17912F6A3E48C9D/complete-data-science-and-machine-learning-using-python.part08.rar
https://nitroflare.com/view/EA5EB033CD74C92/complete-data-science-and-machine-learning-using-python.part09.rar
https://nitroflare.com/view/AC3C9ECABFA8151/complete-data-science-and-machine-learning-using-python.part10.rar
https://nitroflare.com/view/1DE6F9F6D0FFD06/complete-data-science-and-machine-learning-using-python.part11.rar

Code:

https://rapidgator.net/file/7bd343353d9e70b3d879a0d2fe7df74b/complete-data-science-and-machine-learning-using-python.part01.rar.html
https://rapidgator.net/file/2fe2309d75a3fc697337e827c257bb96/complete-data-science-and-machine-learning-using-python.part02.rar.html
https://rapidgator.net/file/67790bcb3abfdd9ebd91b9aa093e700d/complete-data-science-and-machine-learning-using-python.part03.rar.html
https://rapidgator.net/file/51f374d674a4d0d52364f6c93eb4c566/complete-data-science-and-machine-learning-using-python.part04.rar.html
https://rapidgator.net/file/cbcd79d1e24536046180c9d4fdc6ee27/complete-data-science-and-machine-learning-using-python.part05.rar.html
https://rapidgator.net/file/c5bbf4cd34f9e58af9a38ccf2676530d/complete-data-science-and-machine-learning-using-python.part06.rar.html
https://rapidgator.net/file/9f981dee14037346c4ec55a2b3b6634f/complete-data-science-and-machine-learning-using-python.part07.rar.html
https://rapidgator.net/file/d9ab9fbdef9b852b251a5b325f9f66a5/complete-data-science-and-machine-learning-using-python.part08.rar.html
https://rapidgator.net/file/252086a8a7220d5163cb13626bb1b56a/complete-data-science-and-machine-learning-using-python.part09.rar.html
https://rapidgator.net/file/1adde0807b537ea74009c256c1cf51ad/complete-data-science-and-machine-learning-using-python.part10.rar.html
https://rapidgator.net/file/37d699c146bb13eb78c1ebb35fa02ee8/complete-data-science-and-machine-learning-using-python.part11.rar.html

[Slon]

Data Science 2020 : Complete Data Science & Machine Learning
h264, yuv420p, 1280x720 |ENGLISH, aac, 48000 Hz, 2 channels | 26h 11 mn | 10.78 GB
Created by: Jitesh Khurkhuriya, Jitesh's Data Science & Machine Learning A-Z Team

Machine Learning A-Z, Data Science, Python for Machine Learning, Math for Machine Learning, Statistics for Data Science
What you'll learn

Learn Complete Data Science skillset required to be a Data Scientist with all the advance concepts
Master Python Programming from Basics to advance as required for Data Science and Machine Learning
Learn complete Mathematics of Linear Algebra, Calculus, Vectors, Matrices for Data Science and Machine Learning.
Become an expert in Statistics including Descriptive and Inferential Statistics.
Learn how to analyse the data using data visualization with all the necessary charts and plots
Perform data Processing using Pandas and ScikitLearn
Master Regression with all its parameters and assumptions
Solve a Kaggle project and see how to achieve top 1 percentile
Learn various classification algorithms such as Logistic Regression, Decision Tree, Random Forest, Support Vector Machines
Get complete understanding of deep learning using Keras and Tensorflow
Become the Pro by learning Feature Selection and Dimensionality Reduction

Requirements

No prerequisites. I will teach right from basics in Python to Advanced Deep Learning
Passion to deal with data analysis

Description

Data Science and Machine Learning are the hottest skills in demand but challenging to learn. Did you wish that there was one course for Data Science and Machine Learning that covers everything from Math for Machine Learning, Advance Statistics for Data Science, Data Processing, Machine Learning A-Z, Deep learning and more?

Well, you have come to the right place. This Data Science and Machine Learning course has 250+ lectures, more than 25+ hours of content, 11 projects including one Kaggle competition with top 1 percentile score, code templates and various quizzes.

Today Data Science and Machine Learning is used in almost all the industries, including automobile, banking, healthcare, media, telecom and others.

As the Data Science and Machine Learning practioner, you will have to research and look beyond normal problems, you may need to do extensive data processing. experiment with the data using advance tools and build amazing solutions for business. However, where and how are you going to learn these skills required for Data Science and Machine Learning?

Data Science and Machine Learning require in-depth knowledge of various topics. Data Science is not just about knowing certain packages/libraries and learning how to apply them. Data Science and Machine Learning require an indepth understanding of the following skills,

Understanding of the overall landscape of Data Science and Machine Learning

Different types of Data Analytics, Data Architecture, Deployment characteristics of Data Science and Machine Learning projects

Python Programming skills which is the most popular language for Data Science and Machine Learning

Mathematics for Machine Learning including Linear Algebra, Calculus and how it is applied in Machine Learning Algorithms as well as Data Science

Statistics and Statistical Analysis for Data Science

Data Visualization for Data Science

Data processing and manipulation before applying Machine Learning

Machine Learning

Ridge (L2), Lasso (L1) and Elasticnet Regression/ Regularization for Machine Learning

Feature Selection and Dimensionality Reduction for Machine Learning models

Machine Learning Model Selection using Cross Validation and Hyperparameter Tuning

Cluster Analysis for unsupervised Machine Learning

Deep Learning using most popular tools and technologies of today.

This Data Science and Machine Learning course has been designed considering all of the above aspects, the true Data Science and Machine Learning A-Z Course. In many Data Science and Machine Learning courses, algorithms are taught without teaching Python or such programming language. However, it is very important to understand the construct of the language in order to implement any discipline including Data Science and Machine Learning.

Also, without understanding the Mathematics and Statistics it's impossible to understand how some of the Data Science and Machine Learning algorithms and techniques work.

Data Science and Machine Learning is a complex set of topics which are interlinked. However, we firmly believe in what Einstein once said,

"If you can not explain it simply, you have not understood it enough."

As an instructor, I always try my level best to live up to this principle. This is one comprehensive course on Data Science and Machine Learning that teaches you everything required to learn Data Science and Machine Learning using the simplest examples with great depth.

As you will see from the preview lectures, some of the most complex topics are explained in a simple language.

Some of the key skills you will learn,

Python Programming

Python has been ranked as the #1 language for Data Science and Machine Learning. It is easy to use and is rich with various libraries and functions required for performing various tasks for Data Science and Machine Learning. Moreover, it is the most preferred and default language of use for many Deep Learning frameworks including Tensorflow and Keras.

Advance Mathematics for Machine Learning

Mathematics is the very basis for Data Science in general and Machine Learning in particular. Without understanding the meanings of Vectors, Matrices, their operations as well as understanding Calculus, it is not possible to understand the foundation of the Data Science and Machine Learning. Gradient Descent which forms the very basis of Neural Network and Machine Learning is built upon the basics of Calculus and Derivatives.

Advance Statistics for Data Science

It is not enough to know only mean, median, mode etc. The advance techniques of Data Science and Machine Learning such as Feature Selection, Dimensionality Reduction using PCA are all based on advance inferential statistics of Distributions and Statistical Significance. It also helps us understanding the data behavior and then apply an appropriate machine learning technique to get the best result from various techniques of Data Science and Machine Learning.

Data Visualization

As they say, picture is worth a thousand words. Data Visualization is one of the key techniques of Data Science and Machine Learning and is used for Exploratory Data Analysis. In that, we visually analyse the data to identify the patterns and trends. We are going to learn how to create various plots and charts as well as how to analyse them for all the practical purposes. Feature Selection plays a key role in Machine Learning and Data Visualisation is key for it.

Data Processing

Data Science require extensive data processing. Data Science and Machine Learning practitioners spend more than 2/3rd of the time processing and analysing the data. Data can be noisy and is never in the best shape and form. Data Processing is one of the key disciplines of Data Science and Machine Learning to get the best results. We will be using Pandas which is the most popular library for data processing in Python and various other libraries to read, analyse, process and clean the data.

Machine Learning

The heart and soul of Data Science is the predictive ability provided by the algorithms from Machine Learning and Deep Learning. Machine Learning takes the overall discipline of Data Science ahead of others. We will combine everything we would learn from the previous sections and build various machine learning models. The key aspects of the Machine Learning is not just about the algorithms but also understanding various parameters used by Machine Learning algorithms. We will understand all the key parameters and how their values impact the outcome so that you can build the best machine learning models.

Feature Selection and Dimensionality Reduction

In case you wonder, what makes a good data scientists, then this section is the answer. A good Data Science and Machine Learning practitioner does not just use libraries and code few lines. She will analyse every feature of the data objectively and choose the most relevant ones based on statistical analysis. We will learn how to reduce the number of features as well as how we can retain the value in the data when we practice and build various machine learning models after applying the principles of Feature Selection and Dimensionality Reduction using PCA.

Deep Learning

You can not become a good Data Science and Machine Learning practitioner, if you do not know how to build powerful neural network. Deep Learning can be said to be another kind of Machine Learning with great power and flexibility. After Learning Machine Learning, we are going to learn some key fundamentals of Deep Learning and build a solid foundation first. We will then use Keras and Tensorflow which are the most popular Deep Learning frameworks in the world.

Kaggle Project

As an aspiring Data Scientists, we always wish to work on Kaggle project for Machine Learning and achieve good results. I have spent huge effort and time in making sure you understand the overall process of performing a real Data Science and Machine Learning project. This is going to be a good Machine Learning challenge for you.

Your takeaway from this course,

Complete hands-on experience with huge number of Data Science and Machine Learning projects and exercises

Learn the advance techniques used in the Data Science and Machine Learning

Certificate of Completion for the most in demand skill of Data Science and Machine Learning

All the queries answered in shortest possible time.

All future updates based on updates to libraries, packages

Continuous enhancements and addition of future Machine Learning course material

All the knowledge of Data Science and Machine Learning at fraction of cost

This Data Science and Machine Learning course comes with the Udemy's 30-Day-Money-Back Guarantee with no questions asked.

So what you are waiting for? Hit the "Buy Now" button and get started on your Data Science and Machine Learning journey without spending much time.

I am so eager to see you inside the course.

Disclaimer: All the images used in this course are either created or purchased/downloaded under the license from the provider, mostly from Shutterstock or Pixabay.
Who this course is for:

Beginners as well as advance programmers who want to make a career in Data Science and Machine Learning

Homepage

Code:

http://anonymz.com/?https://www.udemy.com/course/complete-data-science-and-machine-learning-using-python/

Code:

https://nitroflare.com/view/3071166C1AACC7A/complete-data-science-and-machine-learning-using-python.part01.rar
https://nitroflare.com/view/F8E5B9A3A50F118/complete-data-science-and-machine-learning-using-python.part02.rar
https://nitroflare.com/view/1D7E97E96DB699C/complete-data-science-and-machine-learning-using-python.part03.rar
https://nitroflare.com/view/9958A09041B94DB/complete-data-science-and-machine-learning-using-python.part04.rar
https://nitroflare.com/view/410A24A1141D5F8/complete-data-science-and-machine-learning-using-python.part05.rar
https://nitroflare.com/view/28A3F7590C08F5B/complete-data-science-and-machine-learning-using-python.part06.rar
https://nitroflare.com/view/99C70019FABBC48/complete-data-science-and-machine-learning-using-python.part07.rar
https://nitroflare.com/view/17912F6A3E48C9D/complete-data-science-and-machine-learning-using-python.part08.rar
https://nitroflare.com/view/EA5EB033CD74C92/complete-data-science-and-machine-learning-using-python.part09.rar
https://nitroflare.com/view/AC3C9ECABFA8151/complete-data-science-and-machine-learning-using-python.part10.rar
https://nitroflare.com/view/1DE6F9F6D0FFD06/complete-data-science-and-machine-learning-using-python.part11.rar

Code:

https://rapidgator.net/file/7bd343353d9e70b3d879a0d2fe7df74b/complete-data-science-and-machine-learning-using-python.part01.rar.html
https://rapidgator.net/file/2fe2309d75a3fc697337e827c257bb96/complete-data-science-and-machine-learning-using-python.part02.rar.html
https://rapidgator.net/file/67790bcb3abfdd9ebd91b9aa093e700d/complete-data-science-and-machine-learning-using-python.part03.rar.html
https://rapidgator.net/file/51f374d674a4d0d52364f6c93eb4c566/complete-data-science-and-machine-learning-using-python.part04.rar.html
https://rapidgator.net/file/cbcd79d1e24536046180c9d4fdc6ee27/complete-data-science-and-machine-learning-using-python.part05.rar.html
https://rapidgator.net/file/c5bbf4cd34f9e58af9a38ccf2676530d/complete-data-science-and-machine-learning-using-python.part06.rar.html
https://rapidgator.net/file/9f981dee14037346c4ec55a2b3b6634f/complete-data-science-and-machine-learning-using-python.part07.rar.html
https://rapidgator.net/file/d9ab9fbdef9b852b251a5b325f9f66a5/complete-data-science-and-machine-learning-using-python.part08.rar.html
https://rapidgator.net/file/252086a8a7220d5163cb13626bb1b56a/complete-data-science-and-machine-learning-using-python.part09.rar.html
https://rapidgator.net/file/1adde0807b537ea74009c256c1cf51ad/complete-data-science-and-machine-learning-using-python.part10.rar.html
https://rapidgator.net/file/37d699c146bb13eb78c1ebb35fa02ee8/complete-data-science-and-machine-learning-using-python.part11.rar.html

[Slon]

TTC Video - America After the Cold War: The First Thirty Years
Video: .MP4, AVC, 1150 kbps, 854x480 | Audio: English, AAC, 160 kbps, 2 Ch | Duration: 12x29 mins | 3.08 GB
Course No. 8164 | Lecturer: Patrick N. Allitt, Ph.D.

History is filled with surprises, not the least of which, was the fall of the Soviet Union in 1989.

Full Description

But what about the 30 years following the fall of the Soviet Union? This period of history is still being written. The end of the Cold War is a natural stopping point, but also a natural starting point, an inflection point when one story ends and something new-something unpredictable from what happened before-begins. Nonetheless, events of today have also been profoundly shaped by the past several decades, and we must understand this recent history to understand today's world. Among other things, our world is a product of:

"New world order" that emerged in the 1990s, in which the United States was the sole remaining superpower on the world stage;
International conflicts, particularly driven by non-state actors and terrorists;
Political polarization that simmered during the Clinton administration and came to a rolling boil in the Obama and Trump administrations;
Golden age of science and technology that has profoundly reshaped our understanding of the universe and the way humans interact with each other; and
Business cycle extremes, with longer booms and a bigger bust, from the "great moderation" in the 1990s through the 2008 financial crisis and the years of slow recovery.

Contemporary life is changing so rapidly that it can be breathtaking to take a step back and look at the cohesive "story" from 1990 to 2019, but this is precisely what America after the Cold War: The First Thirty Years offers. Taught by esteemed professor and Great Courses favorite Dr. Patrick Allitt of Emory University, these 12 fascinating lectures tie the threads of contemporary life together to give you a rich understanding of the United States of America after the threat of annihilating war with the Soviet Union had miraculously passed.

After the fall of the Berlin Wall in 1989, it seemed the United States was poised for a new era of growth, equality, and peace. America after the Cold War: The First Thirty Years walks you through the promise, achievements, and shortcomings of America at the head of a self-proclaimed "new world order."

Explore America's Role on the World Stage

After the breakup of the Soviet Union, the United States was the sole remaining military superpower; yet, a look back to the 1990s shows a nation sometimes uneasy with this new role. When Saddam Hussein invaded Kuwait in 1990, American political leaders debated isolationism versus being the world's peacekeeper. President George H. W. Bush (the 41st president) chose a middle ground of sending in troops to defend Kuwait but stopping short of regime change in Iraq. And later in the decade, the United States chose not to get involved in conflicts in Bosnia and Rwanda.

Yet after the attack on American soil of 9/11 in 2001, President George W. Bush (the 43rd president) led America in a more active-and at times destructive-role in the world. After reviewing the events, alliances, and sociopolitical background at the time of the attack on September 11th, Professor Allitt walks you through the wars in Afghanistan and Iraq.

He takes an objective, historian's approach to recounting facts, and draws threads together to show how Presidents Obama and Trump either continued or rejected military intervention-and how Syria, for example, remains in tumult. In some ways, the story of America is the story of our leadership, for both good and ill.

Witness an Unprecedented Amount of Change

In parallel to America's military interventions abroad, our country was experiencing an astonishing amount of change on the domestic front. Professor Allitt takes you beyond the big headline events-O. J. Simpson, Clinton's impeachment trial, the 2000 election fiasco, the 2008 financial crisis, health care reform, the Mueller investigation-and shows you the significant trends that have shaped our society, such as:

Education: How does our public education system stack up against education systems throughout the world? What policies have we implemented and how have they worked? Consider the following programs: "No Child Left Behind," the "Race to the Top," charter colleges, and more.
Science: From the Hubble Telescope to the human genome to emergent technologies, the past 30 years have seen a remarkable flourishing in STEM fields.
Technology: The smart phone, social media, navigation apps, disruptive online enterprises, and the emerging surveillance state have transformed how we interact with each other and the world.
Energy Independence: The controversial development of shale oil and natural gas has substantially freed the United States from reliance on energy imports from despotic and repressive regimes, while also making fossils fuels harder to resist.
Environment: From the Kyoto Protocol to the Fukushima disaster, and from "cap and trade" policy efforts to policies promoting solar and wind power, the relationship between industry, energy, and climate change is one of the most important themes in contemporary history.

Putting the Story of America Together

Perhaps the most profound change over the past 30 years is the massive amount of change within our American culture. For example, we have been experiencing an artistic golden age, with novelists, filmmakers, artists, architects, and musicians finding new ways to express the self and our time.

America has always been something of a paradox-a colony turned superpower, a productivity dynamo with a widening gulf between rich and poor, and a land of the free that has abetted inequality and racial injustice. One further paradox within our culture is the relationship between opportunity and oppression. Since 1990, the United States has seen an amazing leap in productivity and creativity, and most Americans are living the most enriched lives ever. The same country that elected the first black president to office also witnessed protest movements against security officer brutality and a resurgence of white nationalism. The context and connections you will uncover throughout the 12 lectures of this course can help you to better understand the paradoxes that lie at the heart of modern American history.

History remains full of surprising turns, as America after the Cold War: The First Thirty Years makes clear. The story of the United States is ongoing, but by synthesizing events and illuminating context with insight, Professor Allitt offers a fascinating exploration of the most recent roots of contemporary America.

Homepage

Code:

http://anonymz.com/?https://www.thegreatcourses.com/courses/america-after-the-cold-war-the-first-thirty-years.html

Code:

https://nitroflare.com/view/E7D8FDBD5D8CB97/America_After_the_Cold_War.part1.rar
https://nitroflare.com/view/23D70DCD91E6724/America_After_the_Cold_War.part2.rar
https://nitroflare.com/view/ECA41E9701FAF24/America_After_the_Cold_War.part3.rar
https://nitroflare.com/view/DD557D314A9E13D/America_After_the_Cold_War.part4.rar

Code:

https://rapidgator.net/file/0f464dc7e0e2849db6cafefb04d47e78/America_After_the_Cold_War.part1.rar.html
https://rapidgator.net/file/6afcbc936293ad5bb301dd2eb5d4f3e3/America_After_the_Cold_War.part2.rar.html
https://rapidgator.net/file/f15c2e8352b3df6d54646a226641304f/America_After_the_Cold_War.part3.rar.html
https://rapidgator.net/file/c720eeed227077563cde9e9d00aa098b/America_After_the_Cold_War.part4.rar.html

[Slon]

Java Servlet, JSP and Hibernate: Build eCommerce Website
HIGHEST RATED | Created by Nam Ha Minh | Video: h264, 1280x720 | Audio: AAC 48KHz 2ch | Duration: 59:14 H/M | Lec: 253 | 32.5 GB | Language: English | Sub: English

Learn Java Servlet, JSP and Hibernate framework to build an eCommerce Website (with PayPal and credit card payment)

What you'll learn
Program a complete e-commerce website that sells books using Java Servlet, JSP and Hibernate framework
Build a Bookstore website that allows the customer to browse books, view details, search books, write reviews and register account and purchase books
PayPal payment integration (including credit card payment)
Build the admin panel that allows managers to manage books, customers, reviews and orders
Use Hibernate framework with JPA for the data access layer
Use Java Servlet for the controller layer
Use JSP and JSTL for the view layer
Use HTML, CSS, Javascript and jQuery for the view layer
Design and manage Database with MySQL
Code unit tests with JUnit
Package and Deploy the website with Tomcat server

Requirements
Have basic knowledge in Java, JSP, Servlet and Hibernate
A little knowledge about HTML, CSS, Javascript and jQuery (optional)

Description
This Java Servlet, JSP and Hibernate course helps you master Java programming skills you need to create professional real-world websites from begin to end - Adding an awesome experience to your résumé.

You learn how to build a sophisticated, functioning e-commerce website that sells books!

By completing this course, you will be able to confidently apply for any Java web development jobs, or doing Java freelance projects online.

This is a complete hands-on programming course in which you will see I type every single line of code. No theory.

"Covers every detail of a real world application" - said student Anastasios Lelakis

What makes this course different?

In this course, I use a lot of UML diagrams and pictures to help you understand how things work so you can follow along the course easily.

"I enjoy the way and approach you have used in demonstrating with diagrams, tables and step by step explanation" - said student Ioryaasa Godfrey Akpera

This course is built and taught by a Java expert who has been programming Java for 15 years.

With over 51 hours of video, you learn every step of the development process. So you can learn from zero experience.

You learn to build a complete e-commerce website with all functionalities.

You get rapid support from the instructor who will reply your questions within few hours, not days.

"The course is very well structured and the teacher Nam explains everything step by step in a clear way. Whenever you have a question, he usually replies within 1-2 days and helps you out. Very much enjoying this course and hope to use this knowledge to start building out my own webapps!" - said student Eugene

In this course, you will learn how to apply core technologies in Java EE like Servlet, JSP, JSTL and Hibernate framework to build a complete website to sell books online.

In the back-end (admin) you will develop the following features:

Users management (include admin login/logout)

Category management.

Book management.

Review management.

Customer management.

Order management.

Statistics (admin dashboard)

In the front-end, you will develop the following features:

Homepage: List newly published books; best-selling books; most-favored books

List books in a category

View book details

Search books

Shopping Cart

Customer Registration

Write reviews for books

Place order (Checkout)

PayPal Payment Integration (include credit card payment)

In addition, there are also many assignments from easy to hard to help you practice.

Why should you buy this course?

Acquire the skills to build e-commerce websites with Java

To learn fast from expert - this will save you a lot of time and avoid trials and errors

By completing the project in this course, you earn an awesome experience which you can proudly include in your resume - so you can get Java programming job easier.

If you're a final year student, consider to make your final year project from this course.

Advance your Java programming skills to a new level.

"Amazing experience after this course. Thank you instructor." - said student Dhara Patel

*** SPECIAL BONUS ***

You will get a copy of my book "How to Become a Successful Freelance Programmer" (sold on Amazon) in which you will learn the strategies to build a successful freelance career (I completed 142 projects with average rating 4.8 during 5 years - so you can too). Therefore, by taking this course and being gifted this book, you will be having much greater confident in your programming career.

Who this course is for?
Beginners in Java programming
Beginners in Java Servlet, JSP and Hibernate framework
Students who want to learn hands-on Java programming skill to build e-commerce websites
Those who want to go from beginner to intermediate level in Java programming

Homepage

Code:

https://www.udemy.com/course/java-servlet-jsp-and-hibernate-build-a-complete-website/

Code:

https://nitroflare.com/view/E1F14230BE43424/java-servlet-jsp-and-hibernate-build-a-complete-website.part01.rar
https://nitroflare.com/view/504619C1DC93736/java-servlet-jsp-and-hibernate-build-a-complete-website.part02.rar
https://nitroflare.com/view/5E34CB5C9FE5763/java-servlet-jsp-and-hibernate-build-a-complete-website.part03.rar
https://nitroflare.com/view/6BE132E339CFF30/java-servlet-jsp-and-hibernate-build-a-complete-website.part04.rar
https://nitroflare.com/view/43ABBC5B861B4B6/java-servlet-jsp-and-hibernate-build-a-complete-website.part05.rar
https://nitroflare.com/view/F367156AA2E6CA7/java-servlet-jsp-and-hibernate-build-a-complete-website.part06.rar
https://nitroflare.com/view/B7A4532665255C2/java-servlet-jsp-and-hibernate-build-a-complete-website.part07.rar
https://nitroflare.com/view/6BA2461A6FF2352/java-servlet-jsp-and-hibernate-build-a-complete-website.part08.rar
https://nitroflare.com/view/AAB0EE32824853D/java-servlet-jsp-and-hibernate-build-a-complete-website.part09.rar
https://nitroflare.com/view/BB3BFEE444E9307/java-servlet-jsp-and-hibernate-build-a-complete-website.part10.rar
https://nitroflare.com/view/BF7CDA55202E5E0/java-servlet-jsp-and-hibernate-build-a-complete-website.part11.rar
https://nitroflare.com/view/D0AA70AA97971CA/java-servlet-jsp-and-hibernate-build-a-complete-website.part12.rar
https://nitroflare.com/view/185384E95CB3135/java-servlet-jsp-and-hibernate-build-a-complete-website.part13.rar
https://nitroflare.com/view/4A7346E49A80D14/java-servlet-jsp-and-hibernate-build-a-complete-website.part14.rar
https://nitroflare.com/view/6B0D341D2F1B69F/java-servlet-jsp-and-hibernate-build-a-complete-website.part15.rar
https://nitroflare.com/view/1F7B1E5D0021244/java-servlet-jsp-and-hibernate-build-a-complete-website.part16.rar
https://nitroflare.com/view/19B45E90330CE40/java-servlet-jsp-and-hibernate-build-a-complete-website.part17.rar
https://nitroflare.com/view/541BF83B54B128C/java-servlet-jsp-and-hibernate-build-a-complete-website.part18.rar
https://nitroflare.com/view/C0A20CE2D1E9073/java-servlet-jsp-and-hibernate-build-a-complete-website.part19.rar
https://nitroflare.com/view/06E94783996CC0D/java-servlet-jsp-and-hibernate-build-a-complete-website.part20.rar
https://nitroflare.com/view/B33CE47153B7A88/java-servlet-jsp-and-hibernate-build-a-complete-website.part21.rar
https://nitroflare.com/view/B24891CEDB1CD14/java-servlet-jsp-and-hibernate-build-a-complete-website.part22.rar
https://nitroflare.com/view/E02D79509F3E2D3/java-servlet-jsp-and-hibernate-build-a-complete-website.part23.rar
https://nitroflare.com/view/17906ABC9CE4E5E/java-servlet-jsp-and-hibernate-build-a-complete-website.part24.rar
https://nitroflare.com/view/FD03E0FE69384A0/java-servlet-jsp-and-hibernate-build-a-complete-website.part25.rar
https://nitroflare.com/view/4158E497FA41B09/java-servlet-jsp-and-hibernate-build-a-complete-website.part26.rar
https://nitroflare.com/view/E73D696180591BA/java-servlet-jsp-and-hibernate-build-a-complete-website.part27.rar
https://nitroflare.com/view/7037D50E4CC8C4C/java-servlet-jsp-and-hibernate-build-a-complete-website.part28.rar
https://nitroflare.com/view/75765A6D4DDADC3/java-servlet-jsp-and-hibernate-build-a-complete-website.part29.rar
https://nitroflare.com/view/B484521DB4947A2/java-servlet-jsp-and-hibernate-build-a-complete-website.part30.rar
https://nitroflare.com/view/706A108BB20DA10/java-servlet-jsp-and-hibernate-build-a-complete-website.part31.rar
https://nitroflare.com/view/877EFACAD00FDE9/java-servlet-jsp-and-hibernate-build-a-complete-website.part32.rar
https://nitroflare.com/view/BC0DAF3DC766573/java-servlet-jsp-and-hibernate-build-a-complete-website.part33.rar

Code:

https://rapidgator.net/file/443ec9c749f1f64ec78c00a7ec6736b6/java-servlet-jsp-and-hibernate-build-a-complete-website.part01.rar.html
https://rapidgator.net/file/5d5a9cf05707729202f2c0089e557d3e/java-servlet-jsp-and-hibernate-build-a-complete-website.part02.rar.html
https://rapidgator.net/file/13e86285da04cdd3b2986d1d1682879d/java-servlet-jsp-and-hibernate-build-a-complete-website.part03.rar.html
https://rapidgator.net/file/de8222476b7b7c6684b017e8e55ccf9d/java-servlet-jsp-and-hibernate-build-a-complete-website.part04.rar.html
https://rapidgator.net/file/5c82e97a30ff2d1f7ddd5c3cd1481780/java-servlet-jsp-and-hibernate-build-a-complete-website.part05.rar.html
https://rapidgator.net/file/dba9614ae22002cbcc4a983d4d1f2140/java-servlet-jsp-and-hibernate-build-a-complete-website.part06.rar.html
https://rapidgator.net/file/15fa4acc548d9a6587779303cb9d3805/java-servlet-jsp-and-hibernate-build-a-complete-website.part07.rar.html
https://rapidgator.net/file/3effd3124aa22449861c8495a1cde10a/java-servlet-jsp-and-hibernate-build-a-complete-website.part08.rar.html
https://rapidgator.net/file/bc666170b5c5f6645607cd8b09a57edc/java-servlet-jsp-and-hibernate-build-a-complete-website.part09.rar.html
https://rapidgator.net/file/945f6fecc17aacc33dbfe42e9d43307b/java-servlet-jsp-and-hibernate-build-a-complete-website.part10.rar.html
https://rapidgator.net/file/6e11e653dc9ef1990f986708e7f0516e/java-servlet-jsp-and-hibernate-build-a-complete-website.part11.rar.html
https://rapidgator.net/file/d98d7f8b00877ce058ab37366962dffe/java-servlet-jsp-and-hibernate-build-a-complete-website.part12.rar.html
https://rapidgator.net/file/0341a08d15a21b6ec8768b7432cd4d37/java-servlet-jsp-and-hibernate-build-a-complete-website.part13.rar.html
https://rapidgator.net/file/ccce7eced63c7d4321558ea68751d64b/java-servlet-jsp-and-hibernate-build-a-complete-website.part14.rar.html
https://rapidgator.net/file/4dae86c3bffa7a027267989c7c32a7db/java-servlet-jsp-and-hibernate-build-a-complete-website.part15.rar.html
https://rapidgator.net/file/c961dbd35e890476feca1f9f5c985306/java-servlet-jsp-and-hibernate-build-a-complete-website.part16.rar.html
https://rapidgator.net/file/397bb78135462ba3d6fe44a79cac9750/java-servlet-jsp-and-hibernate-build-a-complete-website.part17.rar.html
https://rapidgator.net/file/5959c3a6b85bf7107f52d5de4e137d98/java-servlet-jsp-and-hibernate-build-a-complete-website.part18.rar.html
https://rapidgator.net/file/4005b73e7f17e2c6150084bfd73c7d5a/java-servlet-jsp-and-hibernate-build-a-complete-website.part19.rar.html
https://rapidgator.net/file/910ec71855061af1598f3adc6a2ff9d7/java-servlet-jsp-and-hibernate-build-a-complete-website.part20.rar.html
https://rapidgator.net/file/78da80aefeba524e065bfa15974d1ca2/java-servlet-jsp-and-hibernate-build-a-complete-website.part21.rar.html
https://rapidgator.net/file/4fe07a958ecb4c38a3873e1c3e842742/java-servlet-jsp-and-hibernate-build-a-complete-website.part22.rar.html
https://rapidgator.net/file/04004065d266136f8a5f4e47e2c07b99/java-servlet-jsp-and-hibernate-build-a-complete-website.part23.rar.html
https://rapidgator.net/file/e6f4a1b407c4b58d5e13a835937906ea/java-servlet-jsp-and-hibernate-build-a-complete-website.part24.rar.html
https://rapidgator.net/file/557ca581b4b86506881da4254ac86624/java-servlet-jsp-and-hibernate-build-a-complete-website.part25.rar.html
https://rapidgator.net/file/d25f3718f9a7c99bb17e58b473eb6890/java-servlet-jsp-and-hibernate-build-a-complete-website.part26.rar.html
https://rapidgator.net/file/461eb11028084744c0af04f1b0d2b7db/java-servlet-jsp-and-hibernate-build-a-complete-website.part27.rar.html
https://rapidgator.net/file/a75a621d9653b51a1ee350576b19d0ab/java-servlet-jsp-and-hibernate-build-a-complete-website.part28.rar.html
https://rapidgator.net/file/90e4d93f6f58322d81015e541a69c540/java-servlet-jsp-and-hibernate-build-a-complete-website.part29.rar.html
https://rapidgator.net/file/2fc11e05b055be6404e3472d6e508485/java-servlet-jsp-and-hibernate-build-a-complete-website.part30.rar.html
https://rapidgator.net/file/a8382d4c9f6553d09c1f6c1d1787d8f2/java-servlet-jsp-and-hibernate-build-a-complete-website.part31.rar.html
https://rapidgator.net/file/577f032b27810350a6ead22323906fa9/java-servlet-jsp-and-hibernate-build-a-complete-website.part32.rar.html
https://rapidgator.net/file/24df2dbe262df6ce9cb1f915bc124ebe/java-servlet-jsp-and-hibernate-build-a-complete-website.part33.rar.html

[Slon]

Be an Expert in Basic Mathematics: Course 2
Video: .mp4 (1280x720, 30 fps®) | Audio: aac, 44100 Hz, 2ch | Size: 13.1 GB
Genre: eLearning Video | Duration: 66 lectures (10 hours, 8 mins) | Language: English

Learn Function, Limit, Complex Numbers, Statistics and Probability



What you'll learn

Learn basic mathematics. Topics: Functions, Limits, complex Numbers, Statistics and Probability.

Requirements

10+ or 12+ grader students who are well versed with college maths.

Description

This course is the continuation of my first online course of basic mathematics on Udemy. The first course is named 'Be an Expert in Basic Mathematics' and it contains topics of Matrices, Determinants, Partial Fractions, Binomial Theorem, Logarithms and Trigonometry.

In the new course I have discussed the topics of Functions, Limits, Complex Numbers, Statistics and Probability. Each lecture is in the form of teaching on a whiteboard that gives a feeling of classroom teaching and very helpful to get connected to the subject in person. Each topic is discussed in details. Home assignments are provided with answer keys for self study.

At the end of every topic; tests/quiz are given for self assessment.

Enjoy the journey of learning mathematics and do not forget to review and rate the course!

Thanks and all the best!

Who this course is for:

Any student who is 10+ or 12+ grader, Engineering Degree/ Diploma, Polytechnic, Science/ Arts/ Commerce/ BBA/ BCA streams, and anybody who has interest to learn mathematics.

Code:

https://nitroflare.com/view/DFF776D64D5A0E6/Be_an_Expert_in_Basic_Mathematics_Course_2.part01.rar
https://nitroflare.com/view/D7E534C2C2ADA43/Be_an_Expert_in_Basic_Mathematics_Course_2.part02.rar
https://nitroflare.com/view/C400A22C7C4069E/Be_an_Expert_in_Basic_Mathematics_Course_2.part03.rar
https://nitroflare.com/view/D6EE4C385294C27/Be_an_Expert_in_Basic_Mathematics_Course_2.part04.rar
https://nitroflare.com/view/D09286CCEEA302B/Be_an_Expert_in_Basic_Mathematics_Course_2.part05.rar
https://nitroflare.com/view/C572726BECB98B6/Be_an_Expert_in_Basic_Mathematics_Course_2.part06.rar
https://nitroflare.com/view/3B5433313A48256/Be_an_Expert_in_Basic_Mathematics_Course_2.part07.rar
https://nitroflare.com/view/7911C71EB14D81C/Be_an_Expert_in_Basic_Mathematics_Course_2.part08.rar
https://nitroflare.com/view/ABFB8EC45D79A93/Be_an_Expert_in_Basic_Mathematics_Course_2.part09.rar
https://nitroflare.com/view/B566AD3B018E4AD/Be_an_Expert_in_Basic_Mathematics_Course_2.part10.rar
https://nitroflare.com/view/D133B177F8AD21A/Be_an_Expert_in_Basic_Mathematics_Course_2.part11.rar
https://nitroflare.com/view/73AA392054C9514/Be_an_Expert_in_Basic_Mathematics_Course_2.part12.rar
https://nitroflare.com/view/934EC7D8CED44E1/Be_an_Expert_in_Basic_Mathematics_Course_2.part13.rar
https://nitroflare.com/view/A7A7201FB19D8AB/Be_an_Expert_in_Basic_Mathematics_Course_2.part14.rar

Code:

https://rapidgator.net/file/6f83bc47052ed78502ec41a43325f51b/Be_an_Expert_in_Basic_Mathematics_Course_2.part01.rar.html
https://rapidgator.net/file/060cbcabbd3d1b8d405d3d3a2c54a33f/Be_an_Expert_in_Basic_Mathematics_Course_2.part02.rar.html
https://rapidgator.net/file/8af8c43e9c88a45aa169b9498fa47a24/Be_an_Expert_in_Basic_Mathematics_Course_2.part03.rar.html
https://rapidgator.net/file/940aeec5b662b7c98da9de65f4532aae/Be_an_Expert_in_Basic_Mathematics_Course_2.part04.rar.html
https://rapidgator.net/file/6ffc8280a179e21326844af323ee80d0/Be_an_Expert_in_Basic_Mathematics_Course_2.part05.rar.html
https://rapidgator.net/file/2b6f9843f1a9783c4b49553c7e1c4b86/Be_an_Expert_in_Basic_Mathematics_Course_2.part06.rar.html
https://rapidgator.net/file/f26500904884fc50a624b86970c78334/Be_an_Expert_in_Basic_Mathematics_Course_2.part07.rar.html
https://rapidgator.net/file/4fcb51aa6421677b491f1799a45ab028/Be_an_Expert_in_Basic_Mathematics_Course_2.part08.rar.html
https://rapidgator.net/file/7dc9428266cdd53734b3157fa0f3791c/Be_an_Expert_in_Basic_Mathematics_Course_2.part09.rar.html
https://rapidgator.net/file/9574b5010d03606339d5bbf6acc85dc4/Be_an_Expert_in_Basic_Mathematics_Course_2.part10.rar.html
https://rapidgator.net/file/cf686b7e5bf1c9d3dc36a6f1b779ad03/Be_an_Expert_in_Basic_Mathematics_Course_2.part11.rar.html
https://rapidgator.net/file/c374b9eb241057511aee5a9622b6cd40/Be_an_Expert_in_Basic_Mathematics_Course_2.part12.rar.html
https://rapidgator.net/file/c94073c052b18b404f524d44284df76d/Be_an_Expert_in_Basic_Mathematics_Course_2.part13.rar.html
https://rapidgator.net/file/e685c89e2d9dba23738747b0f5853f88/Be_an_Expert_in_Basic_Mathematics_Course_2.part14.rar.html

[Slon]

TTC Video - Going to the Devil: The Impeachment of 1868
Video: .MP4, AVC, 1700 kbps, 640x360 | Audio: English, AAC, 96 kbps, 2 Ch | Duration: 1h 18m | 1.02 GB
Course No. 90019

This first-time-ever original narrative documentary is a unique and entertaining retelling of the turbulent yet fascinating events leading up to and through the impeachment of President Andrew Johnson. You'll hear "first-hand" from the characters themselves-including Thaddeus Stevens, Charles Sumner, and others who were involved-as you get an in-depth and evenhanded view of an often-overlooked period in American history. And these characters are probably unlike anyone you have encountered. With back-stabbings, acts of violence, twists and turns, and a cult of personalities, the factual history of this case unfolds like a fictional story.

Homepage

Code:

http://anonymz.com/?https://www.thegreatcourses.com/courses/going-to-the-devil-the-impeachment-of-1868.html

Code:

https://nitroflare.com/view/BE34927E77BD50F/TTC_Going_to_the_Devil.part1.rar
https://nitroflare.com/view/4930CEB465C4B1B/TTC_Going_to_the_Devil.part2.rar

Code:

https://rapidgator.net/file/8b4ee75baf7fa3798a5ae81ded556a51/TTC_Going_to_the_Devil.part1.rar.html
https://rapidgator.net/file/bb291adef7161935613e9a32f7c07e23/TTC_Going_to_the_Devil.part2.rar.html

[Slon]

Machine Vision, GANs, and Deep Reinforcement Learning LiveLessons, 2nd Edition
ISBN: 0136620221 | .MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 6h 5m | 10.49 GB
Instructor: Jon Krohn

An intuitive introduction to the latest superhuman capabilities facilitated by Deep Learning.

Overview

Machine Vision, GANs, Deep Reinforcement Learning LiveLessons is an introduction to three of the most exciting topics in Deep Learning today. Modern machine vision involves automated systems outperforming humans on image recognition, object detection, and image segmentation tasks. Generative Adversarial Networks cast two Deep Learning networks against each other in a "forger-detective" relationship, enabling the fabrication of stunning, photorealistic images with flexible, user-specifiable elements. Deep Reinforcement Learning has produced equally surprising advances, including the bulk of the most widely-publicized "artificial intelligence" breakthroughs. Deep RL involves training an "agent" to become adept in given "environments," enabling algorithms to meet or surpass human-level performance on a diverse range of complex challenges, including Atari video games, the board game Go, and subtle hand-manipulation tasks. Throughout these lessons, essential theory is brought to life with intuitive explanations and interactive, hands-on Jupyter notebook demos. Examples feature Python and straightforward Keras layers in TensorFlow 2, the most popular Deep Learning library.

Skill Level

Intermediate

Learn How To

Understand the high-level theory and key language around machine vision, deep reinforcement learning, and generative adversarial networks
Create state-of-the art models for image recognition, object detection, and image segmentation
Architect GANs that create convincing images in the style of human-drawn illustrations
Build deep RL agents that become adept at performing in a wide variety of environments, such as those provided by OpenAI Gym
Run automated experiments for optimizing deep reinforcement learning agent hyperparameters, such as its artificial-neural-network configuration
Appreciate what the current limitations of "artificial intelligence" are and how they may be overcome in the near future

Who Should Take This Course

Perfectly suited to software engineers, data scientists, analysts, and statisticians with an interest in applying Deep Learning to natural language data
Code examples are provided in Python, so familiarity with it or another object-oriented programming language would be helpful

More Info

Code:

https://www.informit.com/store/machine-vision-gans-and-deep-reinforcement-learning-9780136620228

Code:

https://nitroflare.com/view/9A77DF45478E859/Machine_Vision_GANs_Deep_Reinforcement.part01.rar
https://nitroflare.com/view/746F8A55B9F911E/Machine_Vision_GANs_Deep_Reinforcement.part02.rar
https://nitroflare.com/view/135700B2F016F9B/Machine_Vision_GANs_Deep_Reinforcement.part03.rar
https://nitroflare.com/view/518B6AA417FDCCE/Machine_Vision_GANs_Deep_Reinforcement.part04.rar
https://nitroflare.com/view/D11C0774DD3E5BD/Machine_Vision_GANs_Deep_Reinforcement.part05.rar
https://nitroflare.com/view/5CC735D673FDDDD/Machine_Vision_GANs_Deep_Reinforcement.part06.rar
https://nitroflare.com/view/252C821D22D53E3/Machine_Vision_GANs_Deep_Reinforcement.part07.rar
https://nitroflare.com/view/CE8C18160C70B83/Machine_Vision_GANs_Deep_Reinforcement.part08.rar
https://nitroflare.com/view/A1EFA5E9CA9F672/Machine_Vision_GANs_Deep_Reinforcement.part09.rar
https://nitroflare.com/view/FDCEA4B99AA3A8E/Machine_Vision_GANs_Deep_Reinforcement.part10.rar
https://nitroflare.com/view/494AE7F251993CF/Machine_Vision_GANs_Deep_Reinforcement.part11.rar

Code:

https://rapidgator.net/file/94b7ad3575044d14319e5545fb5a945e/Machine_Vision_GANs_Deep_Reinforcement.part01.rar.html
https://rapidgator.net/file/8c43a952c59d6d3f9da221433296e578/Machine_Vision_GANs_Deep_Reinforcement.part02.rar.html
https://rapidgator.net/file/11010a6b1a28e5ec4cb024bb7ec0416d/Machine_Vision_GANs_Deep_Reinforcement.part03.rar.html
https://rapidgator.net/file/75468f31ff42ed3ed549820ea0fe13d0/Machine_Vision_GANs_Deep_Reinforcement.part04.rar.html
https://rapidgator.net/file/7c29165780b5dfb7a00c1f3649254b24/Machine_Vision_GANs_Deep_Reinforcement.part05.rar.html
https://rapidgator.net/file/f908f856c05c9ab886ff070d7a093715/Machine_Vision_GANs_Deep_Reinforcement.part06.rar.html
https://rapidgator.net/file/227b5d5cfddbebf116efdf61f44c5d41/Machine_Vision_GANs_Deep_Reinforcement.part07.rar.html
https://rapidgator.net/file/0e0ea74ed8e568081d1811e5d662fdce/Machine_Vision_GANs_Deep_Reinforcement.part08.rar.html
https://rapidgator.net/file/d942ae889c6044a416a489a2b9af7fab/Machine_Vision_GANs_Deep_Reinforcement.part09.rar.html
https://rapidgator.net/file/c4dc1819ca5627583aeb85e893ee1f10/Machine_Vision_GANs_Deep_Reinforcement.part10.rar.html
https://rapidgator.net/file/0484f7fa7d90a6148720fae19ba69d4a/Machine_Vision_GANs_Deep_Reinforcement.part11.rar.html

[Slon]

Data Science and Machine Learning using Python
Video: .mp4 (1280x720, 30 fps®) | Audio: aac, 44100 Hz, 2ch | Size: 16.5 GB
Genre: eLearning Video | Duration: 435 lectures (51 hours, 17 mins) | Language: English

Learn Data Science and Machine Learning using Python. Data Science Practical Applications and Machine Learning Projects!


What you'll learn

Data Science using Python
Data Science Applications
Python libraries such as NumPy, Pandas, Matplotlib, Pyplot for Data Science
Analyzing real world data using Python for Data Science and Machine Learning
Fundamental Python skills
Machine Learning Mathematics and Statistics in detail
Machine Learning applications


Requirements

Passion!
Good internet

Description

Data Science and Machine Learning

28% Demand Increase by 2020 || 4,524 Number of Job Openings || $120,931 Average Base Salary || #1 Best Job in America 2016, 2017, 2018

A Big YES, Data Science is a good career option.

The U.S. Bureau of Labor Statistics reports that the rise of data science needs will create 11.5M job openings by 2026. According to IBM the demand for Data Scientists will increase up to 28% by the year 2020

What is Data Science?

Use of the term Data Science is increasingly common, but what does it exactly mean? What skills do you need to become Data Scientist? What is the difference between BI and Data Science? How are decisions and predictions made in Data Science? These are some of the questions that will be answered further.

First, let's see what is Data Science. Data Science is a blend of various tools, algorithms, and machine learning principles with the goal to discover hidden patterns from the raw data. How is this different from what statisticians have been doing for years?

The answer lies in the difference between explaining and predicting.

Data scientists are analytical data experts who have the technical skills to solve complex problems - and the curiosity to explore what problems need to be solved.

Data science is a multidisciplinary blend of data inference, algorithm development, and technology in order to solve analytically complex problems.

Data science continues to evolve as one of the most promising and in-demand career paths for skilled professionals. Today, successful data professionals understand that they must advance past the traditional skills of analyzing large amounts of data, data mining, and programming skills. In order to uncover useful intelligence for their organizations.


Effective data scientists are able to identify relevant questions, collect data from a multitude of different data sources, organize the information, translate results into solutions, and communicate their findings in a way that positively affects business decisions. These skills are required in almost all industries, causing skilled data scientists to be increasingly valuable to companies.


Glassdoor ranked data scientist as the #1 Best Job in America in 2018 for the third year in a row. As increasing amounts of data become more accessible, large tech companies are no longer the only ones in need of data scientists. The growing demand for data science professionals across industries, big and small, is being challenged by a shortage of qualified candidates available to fill the open positions.


The need for data scientists shows no sign of slowing down in the coming years. LinkedIn listed data scientist as one of the most promising jobs in 2017 and 2018, along with multiple data-science-related skills as the most in-demand by companies.


Unlike some other programming languages, in Python, there is generally a best way of doing something. The three best and most important Python libraries for data science are NumPy, Pandas, and Matplotlib.

NumPy and Pandas are great for exploring and playing with data. Matplotlib is a data visualization library that makes graphs like you'd find in Excel or Google Sheets.


Why learn Python?

Python is an object-orientated language that closely resembles the English language which makes it a great language to learn for beginners as well as seasoned professionals.

Examples sites that use Python are Instagram, YouTube, Reddit, NASA, IBM, Nokia, etc.

Python is one of the most widely used programming languages in the AI field of Artificial Intelligence thanks to its simplicity. It can seamlessly be used with the data structures and other frequently used AI algorithms.

Advantages of Python

GUI based desktop applications

Image processing and graphic design applications

Scientific and computational applications

Games

Web frameworks and web applications

Enterprise and business applications

Operating systems

Language development

Prototyping

Whenever you're faced with a problem and are figuring out how to do it, there will be multiple well-documented ways.

You can become productive in Python fairly quickly even as a beginner, yet it will serve you in industry like a champ too!

1) Python can be used to develop prototypes, and quickly because it is so easy to work with and read.

2) Most automation, data mining, and big data platforms rely on Python. This is because it is the ideal language to work with for general purpose tasks.

3) Python allows for a more productive coding environment than massive languages like C# and Java. Experienced coders tend to stay more organized and productive when working with Python, as well.

4) Python is easy to read, even if you're not a skilled programmer. Anyone can begin working with the language, all it takes is a bit of patience and a lot of practice. Plus, this makes it an ideal candidate for use among multi-programmer and large development teams.

5) Python powers Django, a complete and open source web application framework. Frameworks - like Ruby on Rails - can be used to simplify the development process.


Do you want to become a Data Scientist? Are you willing to learn Machine Learning? Well you're at the right place!!

The average salary for a Machine Learning Engineer is $138,920 per year in the United States by Indeed.

Machine learning is a field of computer science that uses statistical techniques to give computer systems the ability to "learn" (e.g., progressively improve performance on a specific task) with data, without being explicitly programmed ~ by Wikipedia.

Machine learning can easily consume unlimited amounts of data with timely analysis and assessment. This method helps review and adjusts your message based on recent customer interactions and behaviors. Once a model is forged from multiple data sources, it has the ability to pinpoint relevant variables. This prevents complicated integrations, while focusing only on precise and concise data feeds.

Machine learning algorithms tend to operate at expedited levels. In fact, the speed at which machine learning consumes data allows it to tap into burgeoning trends and produce real-time data and predictions

1. Churn analysis - it is imperative to detect which customers will soon abandon your brand or business. Not only should you know them in depth - but you must have the answers for questions like "Who are they? How do they behave? Why are They Leaving and What Can I do to keep them with us?"

2. Customer leads and conversion - you must understand the potential loss or gain of any and all customers. In fact, redirect your priorities and distribute business efforts and resources to prevent losses and refortify gains. A great way to do this is by reiterating the value of customers in direct correspondence or via web and mail-based campaigns.

3. Customer defections - make sure to have personalized retention plans in place to reduce or avoid customer migration. This helps increase reaction times, along with anticipating any non-related defections or leaves.

Many hospitals use this data analysis technique to predict admissions rates. Physicians are also able to predict how long patients with fatal diseases can live.

Insurance agencies across the world are also able to do the following:

Predict the types of insurance and coverage plans new customers will purchase.

Predict existing policy updates, coverage changes and the forms of insurance (such as health, life, property, flooding) that will most likely be dominant.

Predict fraudulent insurance claim volumes while establishing new solutions based on actual and artificial intelligence.

Machine learning is proactive and specifically designed for "action and reaction" industries. In fact, systems are able to quickly act upon the outputs of machine learning - making your marketing message more effective across the board.


So in this course Machine Learning, Data Science and Neural Networks + AI we will discover topics:

Introduction

Supervised Learning

Bayesian Decision Theory

Parametric Methods

Multivariate Methods

Dimensionality Reduction

Clustering

Nonparametric Methods

Decision Trees

McNemar's Test

Hypothesis Testing

Bootstrapping

Temporal Difference Learning

Reinforcement Learning

Stacked Generalization

Combining Multiple Learners

d-Separation

Undirected Graphs: Markov Random Fields

Hidden Markov Models

Regression

Kernel Machines

Multiple Kernel Learning

Normalized Basis Functions

The Perceptron

and much more!!

Who this course is for:

People who are starting their careers in Data Science
Who wants to learn Data Science with Python
Who wants to jump start their career in Machine Learning
Who want to learn Python

Code:

http://anonymz.com/?https://www.udemy.com/course/complete-machine-learning-data-science-with-python-bootcamp/

Code:

https://nitroflare.com/view/F5B3B583578410A/complete-machine-learning-data-science-with-python-bootcamp.part01.rar
https://nitroflare.com/view/5D5B36F30D541CA/complete-machine-learning-data-science-with-python-bootcamp.part02.rar
https://nitroflare.com/view/9A3EC75AC85B1B7/complete-machine-learning-data-science-with-python-bootcamp.part03.rar
https://nitroflare.com/view/CA4986AAC66699D/complete-machine-learning-data-science-with-python-bootcamp.part04.rar
https://nitroflare.com/view/D856284ABF516B1/complete-machine-learning-data-science-with-python-bootcamp.part05.rar
https://nitroflare.com/view/478B0CB1B581134/complete-machine-learning-data-science-with-python-bootcamp.part06.rar
https://nitroflare.com/view/241229F96CEF6F2/complete-machine-learning-data-science-with-python-bootcamp.part07.rar
https://nitroflare.com/view/EF15D3D49003C93/complete-machine-learning-data-science-with-python-bootcamp.part08.rar
https://nitroflare.com/view/D6099862FED2F2D/complete-machine-learning-data-science-with-python-bootcamp.part09.rar
https://nitroflare.com/view/223E0A2073C8708/complete-machine-learning-data-science-with-python-bootcamp.part10.rar
https://nitroflare.com/view/C5EFC9552A2D435/complete-machine-learning-data-science-with-python-bootcamp.part11.rar
https://nitroflare.com/view/CA6C73642E0091D/complete-machine-learning-data-science-with-python-bootcamp.part12.rar
https://nitroflare.com/view/F09560E7A8EF8B9/complete-machine-learning-data-science-with-python-bootcamp.part13.rar
https://nitroflare.com/view/A9CAB41EB447C61/complete-machine-learning-data-science-with-python-bootcamp.part14.rar
https://nitroflare.com/view/96A9D04B1C54A61/complete-machine-learning-data-science-with-python-bootcamp.part15.rar
https://nitroflare.com/view/AB7E1F55434FE01/complete-machine-learning-data-science-with-python-bootcamp.part16.rar
https://nitroflare.com/view/B86517D0B8FDD8B/complete-machine-learning-data-science-with-python-bootcamp.part17.rar

Code:

https://rapidgator.net/file/fdb8c9ed3c346e977713fda43009fb4a/complete-machine-learning-data-science-with-python-bootcamp.part01.rar.html
https://rapidgator.net/file/c987fcf477a29f095651b551045154b6/complete-machine-learning-data-science-with-python-bootcamp.part02.rar.html
https://rapidgator.net/file/76fd14a4ccbfc63194dcbadc31385b91/complete-machine-learning-data-science-with-python-bootcamp.part03.rar.html
https://rapidgator.net/file/2e9a570b61ee87e1c63f4f3e2387f832/complete-machine-learning-data-science-with-python-bootcamp.part04.rar.html
https://rapidgator.net/file/dd30217ae8317a740a2dba76e0e6a0ce/complete-machine-learning-data-science-with-python-bootcamp.part05.rar.html
https://rapidgator.net/file/47f4300c9584b86d674b921442b28292/complete-machine-learning-data-science-with-python-bootcamp.part06.rar.html
https://rapidgator.net/file/86f06f9bd49fb04c86e4066a71338946/complete-machine-learning-data-science-with-python-bootcamp.part07.rar.html
https://rapidgator.net/file/5d2f4ba8acba672d3e0718c8a7a390c1/complete-machine-learning-data-science-with-python-bootcamp.part08.rar.html
https://rapidgator.net/file/51c5f4609d57e51992e31b7d1882cf12/complete-machine-learning-data-science-with-python-bootcamp.part09.rar.html
https://rapidgator.net/file/044af8719543859351cc93d04e33a7c3/complete-machine-learning-data-science-with-python-bootcamp.part10.rar.html
https://rapidgator.net/file/1e1a7c3fa9edb66151819ea9be0ca9c4/complete-machine-learning-data-science-with-python-bootcamp.part11.rar.html
https://rapidgator.net/file/5623e2e89563bf6cdbaeab42a78918c9/complete-machine-learning-data-science-with-python-bootcamp.part12.rar.html
https://rapidgator.net/file/c5d9e1f53e986f06dafdd07966f17bf5/complete-machine-learning-data-science-with-python-bootcamp.part13.rar.html
https://rapidgator.net/file/43c5f03670f10ce31c274b2d0d2a2488/complete-machine-learning-data-science-with-python-bootcamp.part14.rar.html
https://rapidgator.net/file/9d8e2e87b62e4cecd7aa9c3592ff6163/complete-machine-learning-data-science-with-python-bootcamp.part15.rar.html
https://rapidgator.net/file/dd53b82806edf4d4e3cca9e9998fe471/complete-machine-learning-data-science-with-python-bootcamp.part16.rar.html
https://rapidgator.net/file/dff99e3172b01323c4a656230b2b69b4/complete-machine-learning-data-science-with-python-bootcamp.part17.rar.html

[Slon]

Blender 2.8 Model a Lightsaber for Beginners
Video: .mp4 (1280x720, 30 fps®) | Audio: aac, 48000 Hz, 2ch | Size: 9.36 GB
Genre: eLearning Video | Duration: 9 sections • 45 lectures • 8h 54m total length | Language: English

3D Model a Lightsaber with Blender 2.8 Featuring Texturing, Materials, Animation, and using the all new Eevee Rendering.

What you'll learn

• Using Blender 2.8 and understand its interface and shortcuts
• Following through a complete guide on creating a 3D model of a lightsaber sci-fi asset
• Complete guide on marking seams & texture resolutions
• UV mapping and UV unwrapping your model
• Applying hard- and soft-edges
• Explore and have fun with texturing and material creation
• How to import and use Textures with Blenders node system
• Complete guide to animate your 3D model
• Suitable for beginners learn 3D Modelling With Blender 2.8
• Learning how to light a scene for sci-fi atmosphere

Requirements

To have downloaded Blender 2.8 (available for free)
Thirst to learn and excitement about 3D modelling
All resources are supplied in the course including over 25 textures maps, 1 resolution map and 2 references.

Description

Hi and welcome to this new 3D Tudor Udemy course, 'Blender 2.8 Model a Lightsaber for Beginners'. Sci-fi is here to stay and I am happy to announce that I am releasing another 3D Tudor modeling course under this genre. I have not moved to pastures anew permanently, but 3D Tudor courses aim to be versatile in helping you explore different art styles. The sci-fi genre would not be the same without certain archetypes, and with 'Blender 2.8 Creating a Lightsaber for Beginners', we will be learning how to make a lightsaber. As before, we are learning together, and trial and error will help your workflow as you will be presented with solutions to common problems.


This is one of my most exciting Udemy courses to date. Like my other Udemy course, 'Blender 2.8 Beginners Guide To 3D Modeling A Sci-fi Scene', I will be taking you on an extensive 3D modeling journey involving modeling, texturing, freebies, animation, lighting and rendering a sci-fi asset. The focus of this Udemy course is to show you how to make realistic models, to a real-world scale. Enroll in this Blender 2.8 course and experience over 8 hours of content, full of learning opportunities to take your 3D modeling, animation and simulations skills to the next level. By completing this course, you will walk away with a comprehensive view of how to model from the ground up, with a super-fast industry-standard workflow. All this exclusively in Blender 2.8.


Using everything I learned from previous courses, mainly from all your helpful feedback, I was able to make a course that really has the wow-factor; something you will be proud of accomplishing.


My move into the sci-fi scene has been met with remarkable student feedback, such as:


"I found the course great. And the asset is shaping to be something that looks at home in Metroid or Halo- I really think the end asset does look that good. Plus for a little extra spice, you could also bring the asset into Substance Painter and truly make it your own. Overall whether this is your first Blender course or you have been around before, the course is worth it. The instructor does not go too fast or skips about how he did; a, b, c -everything is explained.".

Through my introduction of on-screen tooltips, 3D Tudor courses have become much more beginner-friendly and in-depth. The focus of this new course is to take anyone no matter their level in 3D modeling and teach them how to model a lightsaber from the ground up. The course has nearly 9 hours of content and is a one-stop course to take you on your way to a professional level. By joining this Udemy course you will engage in a journey of in-depth learning focused on the most important aspects of 3D modeling and animation. Blender Procedures will cover modeling, texturing, animation, lighting, and rendering. By the end of the course, you will have created a professional-looking sci-fi asset most commonly known as a lightsaber.


Modeling

We will be creating one of the most famous sci-fi assets - the lightsaber - a contraption reminiscent of popular cinema titles. This course is coming out just a few months before a major game release that will revolutionize the sci-fi genre, Cyberpunk 2077 by Project Red.


'Blender 2.8 Creating a Lightsaber for Beginners' has a new learning format that will be relevant to beginners. This course is also relevant to those students who are more familiar with 3D creation and modeling using Blender software, or those who are transitioning into Blender from another piece of software or from the previous older versions of Blender.


This Udemy course aims to teach you from the ground up. It will cover the very basics of modeling and teach you the tips and tricks that the pros use in Blender 2.8. This course explains everything and will include a step-by-step exploration of all the new shortcuts that have come with this new Blender version. You will be able to keep up with the course's pace through having an on-screen visual tooltip. Anything that needs some explanation is explained easily using a small pop-up box, so you will never be lost. My goal here is to not only have students re-create this lightsaber but for them to come away with a comprehensive understanding of how and why. By the end of the course, the knowledge you will have learned can be put to use independent of the direction you take in 3D modeling - following the amateur or the professional path.


Texturing

Texturing is perhaps the most important part of any 3D model. I will show you the most efficient and quickest ways of preparing a mesh for adding materials in Blender. We will be going over how to mark seems, how to correct texture resolutions, and how to UV-unwrap. A new thing in this course will be learning how to mark sharps, so that you can create hard and soft edges for your 3D models within Blender 2.8. You will also be able to keep these edges you create even if you are exporting to Substance Painter or Unreal Engine 4. All these course components would be a course in their own right, so by enrolling, you will be able to develop your skills in a multi-faceted way. To save time on your usual trial and error process, I will show you both the right and the wrong way of doing this. You will be fully prepared and provided with the skills to 'clean' a 3D model mesh to an industry standard.


We will also explore the Blender 2.8 node system in depth, where you will learn not only how to import textures and maps, but also how to change the way materials look.


Animation

Have you ever wanted to learn how to build a full animation cycle? The learning outcomes of this Udemy course include creating a complete animation cycle in Blender 2.8. The lightsaber we will be creating will be animated with light coming out and in. The animation will be set up in such a way that the light (i.e., blade) will be following the assigned movement consistent with how the lightsaber moves - making it perfect for fight scenes!. You will learn all about armatures and bones, and you will be shown how to keyframe. We will move on to the complex fundamentals of animations, where we learn how to weight and attach bones to meshes. This is exactly the same process as in Hollywood for computer-generated imaging (CGI) or the respective gaming industry. You can apply these skills to any animations you decide to make in the future, and I would be excited to see you upload animations of other models as part of this Udemy course project.


Freebies

You will be glad to know that this Udemy course comes with a small resource pack of five 2k resolution texture maps including all albedo (i.e., color), normal, roughness, metallic, and displacement maps free to download with this course. These are resources that you are free to download and reuse in your other projects. You could also utilize them in your lightsaber course project, which you are encouraged to upload as part of this course. Freebies also include two references, created in Adobe Photoshop, created specifically for this course: a dual lightsaber, and a small lightsaber. I created all these textures and resources using a mix of Substance Painter, and Adobe Photoshop. All textures included for free with this course are custom made specifically for this course.


Lighting

I always feel that lighting is one of the key components that tend to be the most overlooked. To be honest, I learned this the hard way, seeing as lighting is important with regards to making a scene look overwhelmingly beautiful or realistic or tragically bad. I went back to the drawing board and developed my skills in Blender and in lighting. Over time, I learned exactly how to light scenes. This knowledge I now pass on to my students. You will learn all about Blender 2.8 lighting and lighting effects.


Rendering

Finally, after all the preparations for making a realistic sci-fi scene, we will be rendering two stills in one of the best renderers in the industry - Eevee Render. Through this course, you will gain the knowledge to create great-looking scenes in Eevee rendering engine. We will also be setting up studio lighting to create a nice render for a portfolio piece. You will spend a lot of time on getting your emission nodes correct. We will be setting up cameras and I will be going through different techniques to help improve the quality of your renders.


Happy modeling everyone!

Neil, 3D Tudor


Who this course is for:

• Beginner 3D modellers eager to learn how to build the most famous Sci-fi asset - a lightsaber - in Blender 2.8
• Enthusiasts of Blender 2.8 who want to fast-track their understanding of its new and exciting changes
• Mid-Level 3D modellers who want to take their modelling to the new level and improve their workflow with tips and tricks

Code:

https://nitroflare.com/view/C4F8419F76F43C0/Blender_2_8_Model_a_Lightsaber_for_Beginners.part01.rar
https://nitroflare.com/view/1601CF536D7CC25/Blender_2_8_Model_a_Lightsaber_for_Beginners.part02.rar
https://nitroflare.com/view/234DD569D2EA8AD/Blender_2_8_Model_a_Lightsaber_for_Beginners.part03.rar
https://nitroflare.com/view/CB1927885401DED/Blender_2_8_Model_a_Lightsaber_for_Beginners.part04.rar
https://nitroflare.com/view/1A441B832714070/Blender_2_8_Model_a_Lightsaber_for_Beginners.part05.rar
https://nitroflare.com/view/E7DB49BEBC4DD9F/Blender_2_8_Model_a_Lightsaber_for_Beginners.part06.rar
https://nitroflare.com/view/B1F250629AFE570/Blender_2_8_Model_a_Lightsaber_for_Beginners.part07.rar
https://nitroflare.com/view/C4E5A2321D4CDA7/Blender_2_8_Model_a_Lightsaber_for_Beginners.part08.rar
https://nitroflare.com/view/F01177DE038EEB9/Blender_2_8_Model_a_Lightsaber_for_Beginners.part09.rar
https://nitroflare.com/view/35FBC0C9726137C/Blender_2_8_Model_a_Lightsaber_for_Beginners.part10.rar

Code:

https://rapidgator.net/file/b3c052e0b25a33bfb13512f172151dbd/Blender_2_8_Model_a_Lightsaber_for_Beginners.part01.rar.html
https://rapidgator.net/file/4e2235ae36b4ab28aca2b6656894f531/Blender_2_8_Model_a_Lightsaber_for_Beginners.part02.rar.html
https://rapidgator.net/file/1f94eca174bf17c038ee564ab54dd7cd/Blender_2_8_Model_a_Lightsaber_for_Beginners.part03.rar.html
https://rapidgator.net/file/9b8ff98c896a72eea4be54917b5ba91e/Blender_2_8_Model_a_Lightsaber_for_Beginners.part04.rar.html
https://rapidgator.net/file/cbcaf571b0f4ef8e6c00291b521dc6e5/Blender_2_8_Model_a_Lightsaber_for_Beginners.part05.rar.html
https://rapidgator.net/file/4d0ebcf0b160f1b64714ad9c53d415e8/Blender_2_8_Model_a_Lightsaber_for_Beginners.part06.rar.html
https://rapidgator.net/file/e6e72a9fdc7f6d4deffea806015aa3ce/Blender_2_8_Model_a_Lightsaber_for_Beginners.part07.rar.html
https://rapidgator.net/file/8c0de2da9d96ab14ef4303c8b1b1d960/Blender_2_8_Model_a_Lightsaber_for_Beginners.part08.rar.html
https://rapidgator.net/file/2fc98a72117e595d2c1178a194a2ca5a/Blender_2_8_Model_a_Lightsaber_for_Beginners.part09.rar.html
https://rapidgator.net/file/97088765cc87192810830d1db6ccea44/Blender_2_8_Model_a_Lightsaber_for_Beginners.part10.rar.html

[Slon]

AWS Certified Solutions Architect - Associate (SAA-C02)
ISBN: 0136721265 | .MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 6h 18m | 11.46 GB
Instructor: Chad Smith

Overview

The AWS Certified Solutions Architect - Associate (SAA-C02) Complete Video Course is designed to provide users with more than 6 hours of instruction with the goal of fully preparing them for all aspects of the exam. The course walks through the exam objective coverage in a way that is easy to digest, apply in the workplace, and implement for the exam. The course instructor, Chad Smith, is an experienced and certified architect with a focus on AWS.

The course provides walk-throughs of the exam objectives as well as best strategies and demonstrations for optimal application. Each lesson ends with two sample questions, which are explained in detail for both correct and incorrect answers. The four domains of the AWS SAA-C02 exam align with Modules 2 through 5 of this course to provide the best outcome for the learner intending to take-and pass-the AWS Certified Solutions Architect - Associate (SAA-C02) Exam.

Topics include

Module 1: AWS Certified Solutions Architect Overview
Module 2: Design Resilient Architectures
Module 3: Design High-Performing Architectures
Module 4: Specify Secure Applications and Architectures
Module 5: Design Cost-Optimized Architectures

Skill Level

Intermediate to advanced

Learn How To

* Use architectural patterns to design resilient, highly available, and decoupled infrastructures
* Deploy high-performance compute, network, storage, and database resources
* Design least-privilege access control and secure application tiers, and deploy data protection mechanisms for encryption in transit and at rest
* Recognize cost-effective compute, network, storage, and database implementation
* Pass the AWS Certified Solutions Architecture Associate SAA-C02 exam

Who Should Take This Course

* AWS architects
* AWS SysOps professionals
* AWS security professionals
* AWS developers and engineers
* Intermediate to advanced students

Course Requirements

* Strong understanding of the AWS ecosystem and infrastructure architecture
* Working knowledge of commonly used AWS services such as EC2, S3, IAM, Cloudwatch, etc.
* Solid understanding of multi-tier application architecture patterns

More Info

Code:

https://www.informit.com/store/aws-certified-solutions-architect-associate-saa-c02-9780136721260

Code:

https://nitroflare.com/view/6EEF5739F54D2B6/AWS_Certified_Solutions_Architect.part01.rar
https://nitroflare.com/view/B632ED4D495B39D/AWS_Certified_Solutions_Architect.part02.rar
https://nitroflare.com/view/6DC8B8B80FBE602/AWS_Certified_Solutions_Architect.part03.rar
https://nitroflare.com/view/B1AFE366ED5F6D8/AWS_Certified_Solutions_Architect.part04.rar
https://nitroflare.com/view/3A8FFFE25E31F40/AWS_Certified_Solutions_Architect.part05.rar
https://nitroflare.com/view/607234480F3AE84/AWS_Certified_Solutions_Architect.part06.rar
https://nitroflare.com/view/40C010FC44ADF2D/AWS_Certified_Solutions_Architect.part07.rar
https://nitroflare.com/view/6587D2A4586F80F/AWS_Certified_Solutions_Architect.part08.rar
https://nitroflare.com/view/952F9629F31B3D4/AWS_Certified_Solutions_Architect.part09.rar
https://nitroflare.com/view/883E64BEBC72FAC/AWS_Certified_Solutions_Architect.part10.rar
https://nitroflare.com/view/6A821DE8FC60D19/AWS_Certified_Solutions_Architect.part11.rar
https://nitroflare.com/view/FC9B69D98E30ECC/AWS_Certified_Solutions_Architect.part12.rar

Code:

https://rapidgator.net/file/b7d943e2af3295f45443d4cbb2bd22f1/AWS_Certified_Solutions_Architect.part01.rar.html
https://rapidgator.net/file/8c37825b4ae1cabb03cb0ffee692883a/AWS_Certified_Solutions_Architect.part02.rar.html
https://rapidgator.net/file/4025dd0647a03560f5c421b1ad9074d6/AWS_Certified_Solutions_Architect.part03.rar.html
https://rapidgator.net/file/e6485c9557efa3ee4eac222cd3e3d6b0/AWS_Certified_Solutions_Architect.part04.rar.html
https://rapidgator.net/file/1a8c9e536868a1b80775c72b67b78974/AWS_Certified_Solutions_Architect.part05.rar.html
https://rapidgator.net/file/a3510cbd3e0efd1940ccee9d1bbf9ea2/AWS_Certified_Solutions_Architect.part06.rar.html
https://rapidgator.net/file/3e8136fa1247c8b0e1c8f1eadccf8411/AWS_Certified_Solutions_Architect.part07.rar.html
https://rapidgator.net/file/09f67b04dc1b13e3f16acfc58bf0ea3a/AWS_Certified_Solutions_Architect.part08.rar.html
https://rapidgator.net/file/2288d46e82d75c296dc2cbf6fdd462aa/AWS_Certified_Solutions_Architect.part09.rar.html
https://rapidgator.net/file/d9967bdcab52e8ec1b9f897c6fdba1f5/AWS_Certified_Solutions_Architect.part10.rar.html
https://rapidgator.net/file/91fc5f29b0d69a733cbd148a23c6385b/AWS_Certified_Solutions_Architect.part11.rar.html
https://rapidgator.net/file/803876ca023a3e69de8507e842d8c373/AWS_Certified_Solutions_Architect.part12.rar.html

[Slon]

Golang - The ultimate guide to microservices in Go [Part 1]
h264, yuv420p, 1280x720 |ENGLISH, aac, 44100 Hz, 2 channels | 15h 41 mn | 7.85 GB
Instructor: Federico León

Everything you need to get serious about microservices design & development in Golang: From design to production metrics
What you'll learn

Install, configure and setup Go
Analysis and design of REST microservices.
Different architectures and patterns for implementing them in Go.
Test as you Go. Ensure the quality of your work.
Advanced concurrency patterns.
Parallel execution on Multi-Core VMs.
HTTP frameworks, comparison and appliance.
Consuming external APIs. Test them. Mock them. Measure them. Use them.
The ultimate and best way of mocking different layers of your application.
Debugging and completely testing your application.
Create native webservices.

Requirements

Just complete the Golang tour available at Golang's website

Description

In this course I'm doing the very same I've been doing for the past 6 years: Analysis, design and development of high-performance microservices in Go.

This is not an introduction to Go's concepts, you have free resources for that like the Go Tour (I strongly suggest you to take it!). This is real-life and industry experience revealed in 13+ hours of video and resources that you will not easily find online.

We will cover everything you need:

Native web server.

HTTP frameworks.

Benchmarks.

Package organization.

MVC pattern.

Interfaces.

Dealing with dates.

Unit, Integration and Functional testing.

Mocking different artifacts of your application.

Consuming external APIs.

Mocking external APIs responses

Different concurrency designs based on each requirement.

Parallelism when we have multi-core VMs.

Stress-test our applications

Metrics, logging, debugging, profiling.

And a lots of more... EVERYTHING you need to work with this amazing technology.

Who this course is for:

Software engineers.
Software developers.
Technical leaders.
Architects.
Anyone who wants to get serious about microservices in Go.

Homepage

Code:

http://anonymz.com/?https://www.udemy.com/course/golang-the-ultimate-guide-to-microservices-in-go-part-1/

Code:

https://nitroflare.com/view/3FA4BDF58123821/golang-the-ultimate-guide-to-microservices-in-go-part-1.part1.rar
https://nitroflare.com/view/848A8A29011352E/golang-the-ultimate-guide-to-microservices-in-go-part-1.part2.rar
https://nitroflare.com/view/51CDE31EBBCC506/golang-the-ultimate-guide-to-microservices-in-go-part-1.part3.rar
https://nitroflare.com/view/330DDE756B11497/golang-the-ultimate-guide-to-microservices-in-go-part-1.part4.rar
https://nitroflare.com/view/201B6F8FEE274B1/golang-the-ultimate-guide-to-microservices-in-go-part-1.part5.rar
https://nitroflare.com/view/96D0BC126DCD51F/golang-the-ultimate-guide-to-microservices-in-go-part-1.part6.rar
https://nitroflare.com/view/FDAB7013A57E883/golang-the-ultimate-guide-to-microservices-in-go-part-1.part7.rar
https://nitroflare.com/view/12A80BBCC8C005D/golang-the-ultimate-guide-to-microservices-in-go-part-1.part8.rar

Code:

https://rapidgator.net/file/c65c23876c04fc9c607ae1d04a312f3c/golang-the-ultimate-guide-to-microservices-in-go-part-1.part1.rar.html
https://rapidgator.net/file/fb7b8c89cac0164563c4a5608f179b0d/golang-the-ultimate-guide-to-microservices-in-go-part-1.part2.rar.html
https://rapidgator.net/file/8e4748f4d2cf7a68924b1f8531328ac3/golang-the-ultimate-guide-to-microservices-in-go-part-1.part3.rar.html
https://rapidgator.net/file/511ebab0282f4602d609c91533eff93f/golang-the-ultimate-guide-to-microservices-in-go-part-1.part4.rar.html
https://rapidgator.net/file/8dcebcbe1add320b76b5921342679c78/golang-the-ultimate-guide-to-microservices-in-go-part-1.part5.rar.html
https://rapidgator.net/file/da1611c22c16b25970807a5bff8ce72a/golang-the-ultimate-guide-to-microservices-in-go-part-1.part6.rar.html
https://rapidgator.net/file/d3304e852bf36e3961fea6e9f5c632a3/golang-the-ultimate-guide-to-microservices-in-go-part-1.part7.rar.html
https://rapidgator.net/file/7db7678d5c2212b332b3800cebe77b1e/golang-the-ultimate-guide-to-microservices-in-go-part-1.part8.rar.html

[Slon]

CSS Grid Tutorial With Website Projects
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 25h 2m | 8.7 GB
Instructor: John Smilga

Learn CSS GRID by Building Interesting Website Projects


What you'll learn

students will know what is CSS GRID
students will know how to start using CSS GRID
students will know the syntax of CSS GRID
students will know how to implement CSS GRID by building interesting projects
as a bonus students will also learn CSS FLEXBOX

Requirements

Basic knowledge of HTML, CSS
Compuer
Text Editor
Web Browser

Description

Two fundamental languages of the web are HTML, CSS and Html is used for structure, CSS is used for styling.

Everyone who has ever worked with CSS knows it's biggest flaw - no layout support.

CSS GRID fixes that by providing simple yet powerful solutions.

Reasons to Use CSS GRID

Number One - create more advanced layouts

Number Two - write less code

Number Three - avoid using CSS hacks

Number Four - forget CSS floats ever existed

Number Five (this should be number one) - have fun while doing it.

This step by step course is intended for everyone who wants to start working with CSS GRID.

A basic knowledge of HTML, CSS would be preferred.

We will cover what is CSS GRID, how to add CSS GRID to our projects, how to start working with CSS GRID and step by step we will cover CSS GRID syntax. After that we will dive deep into world of CSS GRID by creating interesting website projects (small and big) because learning the syntax is only the first step - IF YOU WANT TO BECOME CSS GRID Expert- you need to know how to implement CSS GRID in real world situations. As a bonus, students will get free CSS Flexbox videos.

Who this course is for:

Anyone who wants to learn CSS GRID

More Info

Code:

https://www.udemy.com/course/css-grid-tutorial-with-real-world-website-projects/

Code:

https://nitroflare.com/view/9FA75B14531781C/css-grid-tutorial-with-real-world-website-projects.part01.rar
https://nitroflare.com/view/C259DF66E8797AF/css-grid-tutorial-with-real-world-website-projects.part02.rar
https://nitroflare.com/view/BC31864DEFB37BF/css-grid-tutorial-with-real-world-website-projects.part03.rar
https://nitroflare.com/view/E53C637124E4A0A/css-grid-tutorial-with-real-world-website-projects.part04.rar
https://nitroflare.com/view/F548815AAC9C36F/css-grid-tutorial-with-real-world-website-projects.part05.rar
https://nitroflare.com/view/CEC0736F19095D0/css-grid-tutorial-with-real-world-website-projects.part06.rar
https://nitroflare.com/view/45D197BEF9F90A9/css-grid-tutorial-with-real-world-website-projects.part07.rar
https://nitroflare.com/view/B5ADF413272F909/css-grid-tutorial-with-real-world-website-projects.part08.rar
https://nitroflare.com/view/7B859863933CB1A/css-grid-tutorial-with-real-world-website-projects.part09.rar

Code:

https://rapidgator.net/file/3170bff90cfaf97f7bbe35caca3a1e89/css-grid-tutorial-with-real-world-website-projects.part01.rar.html
https://rapidgator.net/file/a3a854eaf042fad479de3dbf67397825/css-grid-tutorial-with-real-world-website-projects.part02.rar.html
https://rapidgator.net/file/4bae5660ca58629e03179ff89de297ae/css-grid-tutorial-with-real-world-website-projects.part03.rar.html
https://rapidgator.net/file/2884078a8093a0f5d9c09ec920d3ba9f/css-grid-tutorial-with-real-world-website-projects.part04.rar.html
https://rapidgator.net/file/b03bfefc10394ede796250c80a16a03c/css-grid-tutorial-with-real-world-website-projects.part05.rar.html
https://rapidgator.net/file/1bb31ec5ad8a318fb1aa910bd6d036e6/css-grid-tutorial-with-real-world-website-projects.part06.rar.html
https://rapidgator.net/file/bb3b55e98c5dc1cbd1a6dd69765048d1/css-grid-tutorial-with-real-world-website-projects.part07.rar.html
https://rapidgator.net/file/e9370d1efa211aa8bedeab5e7872f2e5/css-grid-tutorial-with-real-world-website-projects.part08.rar.html
https://rapidgator.net/file/192be923a1ba493850170ef167c67a96/css-grid-tutorial-with-real-world-website-projects.part09.rar.html

[Slon]

CompTIA PenTest+ (PT1-001)
ISBN: 0135305292 | .MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 6h 29m | 9.95 GB
Instructor: Omar Santos

Overview

CompTIA PenTest+ (PT1-001) Complete Video Course is a complete resource to prepare for the CompTIA PenTest+ certification exam. This course covers all the topics on the exam, including planning and scoping a security penetration testing (ethical hacking) assessment, understanding legal and compliance requirements, and performing vulnerability scanning and penetration testing using appropriate tools and techniques. In addition, it guides the student on how to analyze the results and write a comprehensive report including remediation techniques and best practices on how to effectively communicate results to the relevant stakeholders.

The course is presented by a seasoned and active cybersecurity expert with years of field and teaching experience. Omar Santos walks you through the exam objectives and provides tips and scenarios throughout, helping to put the knowledge in context. He provides demonstrations as well as detailed explanations and samples of each topic.

Topics include

Module 1: Introduction to Ethical Hacking and How to Plan a Security Penetration Test
Module 2: Reconnaissance
Module 3: Attacks and Exploits
Module 4: Tools and Reporting

Skill Level

Beginner/Intermediate

Learn How To

* Prepare for the CompTIA PenTest+ Exam
* Plan and scope a security penetration test
* Perform reconnaissance on a target* Gain access through vulnerable systems by knowing the various exploits
* Restore environments after a pentest has successfully found vulnerabilities within the system
* Record and log activities in a manner that is professional, clear, and advantageous to the client for system improvement

Who Should Take This Course

* Anyone interested in taking the CompTIA PenTest+ exam
* Individuals seeking careers in the cybersecurity field

More Info

Code:

https://www.informit.com/store/comptia-pentest-plus-pt1-001-complete-video-course-9780135305294

Code:

https://nitroflare.com/view/7DAD723D585A32B/CompTIA_PenTest_PT1-001.part01.rar
https://nitroflare.com/view/2AA4ECB53E9EF4C/CompTIA_PenTest_PT1-001.part02.rar
https://nitroflare.com/view/84F2FE656EC7676/CompTIA_PenTest_PT1-001.part03.rar
https://nitroflare.com/view/A35818DF36224E7/CompTIA_PenTest_PT1-001.part04.rar
https://nitroflare.com/view/209A48AA906D39B/CompTIA_PenTest_PT1-001.part05.rar
https://nitroflare.com/view/2172C3AC408176A/CompTIA_PenTest_PT1-001.part06.rar
https://nitroflare.com/view/0577D13E46E7DB4/CompTIA_PenTest_PT1-001.part07.rar
https://nitroflare.com/view/4188C0FF39FD881/CompTIA_PenTest_PT1-001.part08.rar
https://nitroflare.com/view/B51DA0169CDC62F/CompTIA_PenTest_PT1-001.part09.rar
https://nitroflare.com/view/B8CD38F62873D27/CompTIA_PenTest_PT1-001.part10.rar

Code:

https://rapidgator.net/file/73a7a263d8ab3ecf4e73f6d73c1d63a4/CompTIA_PenTest_PT1-001.part01.rar.html
https://rapidgator.net/file/61f6eab354315b7551c2082fe0c5133e/CompTIA_PenTest_PT1-001.part02.rar.html
https://rapidgator.net/file/442ba4b05e33c37ab05e1ad5b10cb6ae/CompTIA_PenTest_PT1-001.part03.rar.html
https://rapidgator.net/file/633cdce877a5daf120e6f761aa76c527/CompTIA_PenTest_PT1-001.part04.rar.html
https://rapidgator.net/file/87eed9c82644b61b173d6681108b9067/CompTIA_PenTest_PT1-001.part05.rar.html
https://rapidgator.net/file/b8927e3cd0eefb521bd0b6bce6c3fda0/CompTIA_PenTest_PT1-001.part06.rar.html
https://rapidgator.net/file/d49cd58c456939933a7373103520c9c9/CompTIA_PenTest_PT1-001.part07.rar.html
https://rapidgator.net/file/f77bf81cedb2708093f0ce195b4f569c/CompTIA_PenTest_PT1-001.part08.rar.html
https://rapidgator.net/file/31bb586141c6584dd74823ae22918b56/CompTIA_PenTest_PT1-001.part09.rar.html
https://rapidgator.net/file/0f069cf4a1c01f1ba67fbaa243302e90/CompTIA_PenTest_PT1-001.part10.rar.html

[Slon]

Network Concepts and Programming from Scratch - Academic LvL
BestSeller | h264, yuv420p, 1280x720 |ENGLISH, aac, 44100 Hz, stereo | 22h 33 mn | 15.01 GB
Instructor: Abhishek Sagar, Shiwani Nigam

Networking course with fundamental concepts in depth with TCP/UDP/HTTP Socket Programming for beginners to expert
What you'll learn

Confident at Answering Networking Related Question
Open up opportunities to Networking/System programming Companies
Get familiar with Linux and Learn Linux System programming side by side
Build Github portfolio, strengthen your employability
Decorate your Resume with projects done in this Course
Learn Networking concepts at all Layers of OSI Model
Course content has been designed keeping the MNCs interviews in Mind
Coding Assignments and Projects
Become a Networking professional Developer
Master designing and Writing TCP/UDP Servers in Linux environment
Build & Decode the complete packet from scratch
Concept of Packet Encapsulation
L2 and L3 Routing, Vlan based Routing

Requirements

Basic UG course on Networking
Basic programming skills in C is required

Description

This course is about strengthening the Networking concepts and fundamentals with assignments side by side with theory. Through this course you will be able to :

1. Understand the Functioning of TCP/IP Stack (OSI Model). Understand the function of each layer in TCP/IP stack in good detail.

2. Explain the L2 routing concepts - Mac Addresses and ARP

3. Explain the L3 routing concepts - IP Addresses and IP protocol

4. Understand various ways to design a Linux TCP/UDP server program in C

5. Understand Socket programming in C

6. Understand the Networking devices functioning - L2 switch and L3 router

7. Understand packet Journey through the layers of TCP/IP stack

8. Design and implement HTTP Webservers from scratch

9. Read and manufacture the network packets from scratch

10. Understand the concept of TLVs

11. Concept of packet Encapsulation

12. Understand Domain Name System (DNS)

13. Virtual LANs (VLANs) and Routing in VLANs

14. Broadcast Domain and Collision Domain

We Understand - Networking by its nature is inclined towards being a theoretical subject of study. To arouse the interest of the students ,we elaborate each and every topic of this course through an assignment or project.

This course is thorough. We explain the design, discuss the code flow and then guide the audience how to implement the particular concept design in detail in a step by step manner. All you need is a Linux OS running on your system to do this course.

Who should do this course ?

This course is meant for UG Computer science students, job seekers and professional developers. This is MUST do course for those who want to join MNCs as a developer. The topics covered in this course are of utmost importance from interviews aspects and students graduating in computer science and looking to seek an opportunity in MNCs as a developer should have Networking concepts at his/her finger tips. Better to have done Networking under graduate course, not mandatory. Job seekers trying for the position of Networking developers in product based MNCs System software development including Networking is an evergreen area. Internet will not going to be doomed ever.

Pre-requisite

There is no pre-requisite for this course, however, it shall be advantage if you know a little of C. We designed this course assuming student is a complete beginner in Networking and we raise the level of course gradually as we move from Basic to advance Networking concepts.

Also, Please just do not sit and watch my codes. Write your own codes, even if it is same as mine !

We have a strong reasons to choose C as a language for this course:

1. The entire core networking development work is being done in C in industry. So, this reason alone is good enough that you should learn network development in C if you are aiming to join industry as a network protocol developer.

2. Network equipment need to interact with underlying hardware - the ASIC chips. What could be a better language other than C when it comes to interact and program the hardware.

3. C is middle level language - not as low as assembly, neither as high as Java/Python. In C, its the programmer's responsibility to write every line of code to get the task done, unlike Java/Python which provides rich rest of libraries to do the most tasks for you. Using High Level Languages for learning network programming would obscure the low level details of networking - that is what is going behind the scenes. If you are are beginner in network programming, you must learn things from scratch and only C provides you the opportunity to do that. So, you must do all your assignments in C.

4. Networking is all about cooking up the packets and sending it out of wire. C will allow you to cook packets exactly the same way as you would like them to appear on wire. Lot of Bit level programming.

5. If you are a beginner in Networking, pls refrain from learning network programming in High Level Languages such as Java Or Python. It is not job oriented thing to do in networking domain.

No Third Party libraries

Whatever logic you implement, you need to implement it from scratch. This course do not suggest taking help of any third party library to get the jobs done. Use of external libraries completely defeats the purpose of the course. However, it is recommended to use third party libraries for commonly used data structures such as linked lists/Trees/Queues etc which saves a lot of time implementing these data structures.

What else along with the course ?

If you are aiming to become a developer, then, besides strong in Data structure and Algorithms, you should have clarity of concepts related to other Linux utilities. Networking is all about system programming, and you would be interested in learning other linux concepts of prime importance such as Inter Process Communication, Remote Procedure Calls etc. Please take a look at my other courses in this regard. These courses will summed you up as a more competitive developer in Networking & System Programming domain.

See what students are saying about this course

Just Take a Look at These Top Rated Reviews (Browse review section to verify these reviews)

***** What a Fantastic Course!!! I really appreciate the efforts Abhishek has put in this course. He has put his sweat and heart into it. The way he explains things keeps you hooked on to this course. He directly gets TO THE POINT without beating around the bush. No author of any networking book can explain things like Abhishek is doing. What Abhishek is doing is that he is explaining the Meat of the subject. One would have to read 10 books to understand this. or perhaps more. There was a hunch in my heart that dont know networking clearly. This course meets my expectations with respect to content, clarity and teaching style with proper presentations. This course improves your understanding and removes the fear of not knowing...not only that, it injects a good amount of confidence about your knowledge of Networking...Thanks for coming up with such a course. Thanks Again.

***** Come across right course at right time. This course seems cover all important areas of networking. Author explains the topics in good detail and with good pace. This course looks like designed to beat technical interviews.

***** Great Course, instructor is very thorough and provide quick guidance and clear any doubts promptly with high availability. I really enjoyed this course. Networking has been a tough subject for me to learn, but this course has made it quite easy. I now have my concepts thoroughly clear ! Thanks Abhishek, and Udemy.

***** I am working as Firmware/Embedded engineer, and the courses from this guys are goddamn blessing. In the real industry, as he mentioned earlier, all network programming or Linux system programming must be implemented with C cuz C is a perfect language for accessing memory spaces and customizing serial communication with other chips. In the real industrial fields, no one is gonna teach you. You are the only one who needs to figure it out by yourself cuz everyone wishes you not to excel in workplace. Only one person can be a manager or supervisor. Take this guy's courses. Needless to say, quality guaranteed. If I could do hacking on this site, i am gonna crash his lectures. I do not want other people to get benefits from his lectures. It would be best if he makes a lecture for "making Operating System from scratch" :)

Warning : This course has auto system-generated subtitles which may not be perfect. Please disable subtitles as per your convenience.

Curriculum

0. Setting up Linux Development Environment on your machine

For those who are not familiar with Linux Installation/environment

1. OSI Model Vs TCP/IP Stack

Data Encapsulation and Data Decapsulation

Headers Cascading

Ingress and egress Journey of packet through a TCP/IP Stack

Big Picture

2. Multi-node setup environment on your machine

Setup Multinode Cluster of Virtual machines on your machine

Local and Remote Subnets

Layer 3 Route Semantics

Configure Layer 3 routes in nodes

Understand L3 Routing table semantics

3. Subnetting and IP address

Understand Subnets

Differentiate between local and remote subnets

IP Address assignment scheme/policy

Data Delivery

Understand MAC addresses and their use

Calculation of Networking ID, Broadcast address and Cardinality of a subnet

Understand the relationship between L3 routers and Subnets

Understand Point-to-Point links

MAC layer and IP rules of packet rejection/acceptance

Broadcast Addresses

4. Layer 2 Networking concepts

L3 Router as a gateway to subnet

Protocol Identifier fields at each layer

Ethernet header format

How Ethernet hdr makes L2 routing possible

ARP (Address resolution protocol)

ARP table population and use

Step by Step ARP protocol functioning

Assignment on ARP

Layer2 Switch - How it works

MAC address table

Step by Step description of L2 Switch functioning

Problem of Layer Thrashing

5. Layer 3 Networking concepts

Relationship between Layer2 and Layer3 routing

Explained the dependency of two layers over each other

Configuring Layer 3 routing table

Semantics of a Layer 3 route

Layer 3 route look up

Concept of Longest prefix match

IP Header - fields you should know

Network Layer Operations

Step by Step description of L3 routing routing

Loopback interface - purpose and configuring loopback interface

Exercise on Layer 3 route installation, routing and forwarding of traffic

BroadCast and Collision Domain

6. Virtual LANs (VLANs)

LANs and why they are outdated today

VLANs - The purpose

802.1Q VLAN hdr

Rules of Vlan Tagging

Vlan Aware L2 Switches

Vlan based L2 routing

Other Vlan Benefits

7. Router to Vlan Forwarding

Convept of SVI interfaces

SVI - VLAN Binding

Router to Vlan Forwarding - Step by Step

8. Inter Vlan Routing

Two Step Process

From Src host Machine to Gateway L3 router

From Gateway L3 router to Dst host machine

Exercise and more examples

9. Network troubleshooting tools

How ping works - ICMP protocol description

Networking applications troubleshooting utilities - ping, wireshark, tcpdump

Capturing the packets and examine its contents using tcpdump

10. Transport Layer

Layer Goals

Contrasting Layer2, Layer 3 and Layer 4 together

TCP and UDP - Properties of two protocols

TCP Vs UDP

Understanding TCP in Detail

Concept of Headers stacking

Concept of port numbers

Linux System call interface

11. Socket programming concepts

Socket Programming Design

Select System call

Accept System call

Concept of Multiplexing

Server State machine

12. Application Layer

Different ways to implement Sockets

on Top of Transport layer

on Top of Network Layer

on Top of Data link layer

Designing HTTP Webserver from scratch

HTTP Webserver Implementation

Custom application sockets

13. Domain Name System

What is DNS ?

DNS Architecture and Design

FQDN

Hosting a website

DNS Resolver

DNS Query types

Iterative Query

Recursive DNS Query

Reverse DNS Query

Summary

14. IP-in-IP Encapsulation/Tunneling

What is IP-in-IP Encapsulation ?

Why we need IP-in-IP Encapsulation ?

How Encapsulated packet is routed in the network ?

Two scenarios using IP-in-IP Encapsulation

15. Concept of TLVs

What are TLVs

Why we need TLVs

Writing a TLV decoder

Benefits of TLVs in Network communication

STREAMS - Data Structure

TLV (De)Serialization using STREAMS

**AUDIT TRIAL**

14 June 2019 - Added Section on TCP

06 Oct 2018 - Added Section 6 On VLANs

07 Sept 2018 - Added Section 11, Domain Name System

13 July 2018 - Added Section 12, IP-in-IP Encapsulation/Tunneling

17 June 2018 - Added Section 10, The Application Layer and HTTP Webserver Design & Implementation

10 June 2018 - Added Section 15, The concept of TLVs
Who this course is for:

UG students, PG Students
Those looking to build a career in Networking Domain
Coding lovers who love to build projects and see things in Action
Those, who want to distinguish themselves from Crowd

Homepage

Code:

http://anonymz.com/?https://www.udemy.com/course/network-programming-from-scratch/

Code:

https://nitroflare.com/view/1E8E304EE32D094/network-programming-from-scratch.part01.rar
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Code:

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[Slon]

MasterClass - Lynnette Marrero & Ryan Chetiyawardana Teach Mixology
.MP4, AVC, 960x540, 24 fps | English, AAC, 2 Ch | 4.5h | 3.45 GB

Award-winning bartenders Lynnette Marrero and Ryan Chetiyawardana (aka Mr Lyan) bring their unique philosophies and backgrounds together to collaborate in a MasterClass on mixology. They share their insider tips and techniques to teach you how to create the perfect cocktail for any mood or occasion. From developing your palate and mastering classic cocktail structures to building your home bar and pairing drinks with food, you'll learn everything you need to delight and impress your friends and family with delicious, original concoctions.

Lynnette Marrero is a proud Nuyorican who draws on her Puerto Rican roots for flavor inspiration and a dedication to hospitality. She's been at the forefront of the New York City-based craft cocktail movement, and she was recognized as one of "America's Leading Female Mixologists" by the James Beard Foundation in 2009. Lynnette was also named one of Food and Wine with Fortune Magazine's "Most Innovative Women in Food and Drink" in 2015 and Wine Enthusiast's Mixologist/Brand Ambassador of the Year in 2016. She is currently bar director at Llama Inn and Llama San in New York City and is a cofounder of Speed Rack, an all-female high-speed bartending competition designed to highlight up-and-coming women in the cocktail industry and give back to those impacted by breast cancer.

Better known as Mr Lyan, Ryan Chetiyawardana opened his first bar, White Lyan, in London in 2013 as the first cocktail bar in the world to use no perishables. He went on to found Dandelyan, named the world's best bar in 2018, Silver Lyan in Washington, D.C., Super Lyan in Amsterdam, and Lyaness and Cub in London. He was named Person of the Decade by Time Out in 2020, Spirits Communicator of the Year in 2019, and Personality of the Decade in 2017. Ryan is the author of Good Together: Drink & Feast with Mr Lyan & Friends, and he's a founding member of P(our), which organizes an annual symposium that brings together bartenders, baristas, sommeliers, brewers, winemakers, distillers, and drinks manufacturers, as well as people of other disciplines, to discuss the past, present, and future of drink.

In their online class, you'll learn about:

• Craft cocktail culture
• World-class cocktails
• Getting behind the bar
• Exploring the palate
• Solo starters: Mojito and Whiskey Smash
• Intimate classics: the Old Fashioned
• Shared sours: Clara Bow, Margarita, Siesta, and Cosmopolitan
• Luxurious egg white sours: Panacea, Pisco Sour, and Morning Glory Fizz
• Dinner party classics: the Negroni
• Dinner party refreshments: Sherry Spritz and Queen's Park Swizzle
• Party starters: tiki and DIY highballs
• Celebratory libations: pre-batched cocktails and punches
• Raucous drinks: the Lyan Mary
• Pairing cocktails with food
• Creativity and craft

Lesson Plan
01. Meet Your Instructors: Lynnette Marrero & Ryan Chetiyawardana
A leader in the New York City-based craft cocktail movement, Lynnette Marrero is the bar director at the Llama Inn in Brooklyn. Nicknamed "Mr Lyan," Ryan Chetiyawardana has opened award-winning bars around the world.

02. Lynnette's Perspective on Craft Cocktail Culture
Lynnette shares the origins of the craft cocktail movement and how her experience working in the restaurant industry informs her drink-making style. She also discusses the importance of mentorship and empowering women in the industry.

03. Mr Lyan's Philosophy on World Class Cocktails
Ryan believes cocktails can boost your mood by bringing people together. World class cocktails aren't about obscure ingredients or fancy equipment, he says-they're about the people and the occasions you're making them for.

04. Get Behind the Bar
Lynnette and Ryan discuss the essentials for a home bar. Ryan encourages you to work with the spirits you love, Lynnette covers which spirits are the most versatile, and they agree that it's best to make use of what you have.

05. Exploring the Palate
Your individual palate should guide you in building cocktails that balance sour and sweet flavors. Lynnette and Ryan demonstrate their preferred lemonades and then add seasonal ingredients, resulting in perfectly balanced non-alcoholic drinks.

06. Solo Starters: Mojito and Whiskey Smash
Ryan and Lynnette demonstrate some cocktails to relax with on your own after a long day.

07. Intimate Classics: The Old Fashioned
Lynnette teaches you her riff on the Fancy Free, a quicker version of an Old Fashioned. Ryan demonstrates a more advanced version by infusing bourbon with beeswax and bottling it for a fun gift.

08. Shared Sours: Clara Bow, Margarita, Siesta, and Cosmopolitan
Sours are a favorite of Lynnette's, and she explains what they involve and demonstrates three different drinks. Ryan shares his recipe for the often-misunderstood Cosmopolitan.

09. Silky Egg White Sours: Panacea, Pisco Sour, and Morning Glory Fizz
Egg whites make for silky-smooth sours. Lynnette and Ryan show you how to incorporate egg whites into drinks using citrus (which "cooks" the whites), with whiskey and pisco as base spirits.

10. Shared Classics: The Martini
Learn a new take on the vodka Martini from Ryan, who also demonstrates a classic gin Martini. Lynnette makes a Bond-style Vesper and a Martinez, a Manhattan/Martini hybrid that originated in the late 1800s.

11. Dinner Party Classics: The Negroni
Lynnette's riff on the classic Negroni swaps gin for aged rum, resulting in a toffee-flavored cocktail. Ryan shows you how to use the microwave to infuse spirits with fresh herbs and fruit.

12. Dinner Party Refreshments: Sherry Spritz and Queen's Park Swizzle
Ryan creates a savory spritz using basil and bell peppers. Lynnette explains her swizzle technique and how rum can be brightened up with mint and Angostura Bitters.

13. Party Starters: Tiki and DIY Highballs
Lynnette creates an island party in a glass. Ryan teaches you how to keep guests entertained by batching a base and laying out garnishes and mixers so everyone can make their own custom highballs.

14. Celebratory Libations: Pre-Batched Cocktails and Punches
Impress a crowd with a champagne cocktail you can batch ahead of time with Ryan's bottled fizz. Lynnette shares a recipe for a punch called the Llama del Rey, which includes a variation of a traditional Peruvian drink.

15. Raucous Drinks: The Lyan Mary
Ryan demonstrates his signature interpretation of a Bloody Mary. Learn which spices and flavors are ideal and why you shouldn't overload the glass with garnishes.

16. Pairing Cocktails With Food
Lynnette's version of a Barracuda holds up against the savory meat and pungent cheese of a charcuterie board. Ryan's Portland Calling is a refreshing complement to a light berry and custard tart served for dessert.

17. Creativity and Craft
Lynnette and Ryan talk about what they've learned from each other and why they love collaboration. They encourage you to get creative, collaborate with friends at home, and concoct your own original drinks.

More Info

Code:

https://www.masterclass.com/classes/lynnette-marrero-and-ryan-chetiyawardana-teach-mixology

Code:

https://nitroflare.com/view/510DFD452EE28C4/Lynnette_Ryan_Teach_Mixology.part1.rar
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Code:

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