Library

[Slon]

Build Online Learning Management System Using PHP (2021)
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + .srt | Duration: 103 lectures (13h) | Size: 6.16 GB

Do you intend to learn or want to run online learning management platform business, then this is the best course for you

What you'll learn:
Be able to build any web app you want using codeigniter
Be able to build complete Udemi clone web application
Build fully-fledged web apps for your startup or business
Work as a freelance PHP developer
Craft a portfolio of web apps to apply for seniour developer jobs
Learn to use PHP Framework
Have a new PHP Skill that would increase income
Learn best way to use AJAX
Understands how youtube, vimeo API works
Build a Multi-linqual Web Application
How to run online course business
Build complete email verrification system with ease
Learn how to automatically calculate video lenght with API's
Create a simple quiz management system to evaluate your students
Real time ajax chat without refreshing your page
Standard and mature internal messaging system.
Learn how to add products to cart using PHP Framework

Requirements
Little knowledge of PHP, though not neccessary becase I'll teach you everything you need to know
Little knowledge of CSS will be an advantage
Zeal to learn PHP Framework
Computer System - Windows/Mac
I'll walk you through, step-by-step how to setup PHP CodeIgniter


Description
Please READ all the points before proceeding

Please watch the preview video and ensure you are satisfy with my accent and my English before enrolling for the course.

Please do not take the course if you are not ready to learn how to build complete learning management system like this platform.

Please note that The objective of this course is learn PHP CodeIgniter framework by building your own complete learning system through learning by practical.

Also, note that there is going to be assignments, quizzes, and evaluations.

Please read the Pre-requisites before joining the course.

If you are still with me lets continue

Building dynamic websites is not an easy challenge and requires time and effort dedicated to coding every bit and piece of the website, which is why anytime there is a new tool that promises to ease the woes of coding, developers always jump at the chance to try it.

PHP Framework (CodeIgniter) is a simple open-source framework that makes it the coding tasks easier by providing a faster way to set up a PHP website from the ground-up. This tool with a small framework ensures that developers can design websites that are light, fast and dynamic.

So, for any developer that wants to become a server-side master, this is a tool that they should definitely have in their toolkit. But, it's not always easy to find a course that is clear and concise and targets exactly what you are looking for!

This is why we have designed this course with an aim teach you everything you need know about PHP Framework (CodeIgniter) with real world project (Building Standard and Most college Management System) using a no-fluff and clear approach at the topic at hand, this tutorial will breakdown CodeIgniter into simple and easy to learn videos so as to be able to build any real world application on PHP Framework (CodeIgniter).

At the end of this course, you will have not only learnt the PHP Framework (CodeIgniter), but you will actually be able to start building your own projects from scratch. In addition to knowledge, this course will also give you the practical hands-on experience and the confidence to start coding your own websites by building college system.

The course will start at the very beginning with a detailed introduction into the PHP Framework (CodeIgniter) from there moving on to installing the framework. From there you will become familiar with the framework, and start building your own LMS.

Join us today as we learn PHP Framework (CodeIgniter) together by building real world software and be free from some authors who claim to teach you a particular programming language but only teach you basis and some copy and paste projects which at the end cannot take you to anywhere.

Learning management system

A learning management system (LMS) is a software application for the administration, documentation, tracking, reporting, automation and delivery of educational courses, training programs, or learning and development programs. The learning management system concept emerged directly from e-Learning

Benefits of Learning Management System

1. Organizes eLearning content in one location.
Instead of having your eLearning content spread out over different hard drives and devices, you can store all of your eLearning materials in one location. This reduces the risk of losing important data and makes it easier to create your eLearning course. Every member of your eLearning team can also access the information if you're using a cloud-based Learning Management System, thanks to the fact that it's all stored on the remote server. This makes Learning Management Systems a natural fit for online collaboration.

2. Provides unlimited access to eLearning materials.
Once you upload your eLearning course materials onto the LMS and publish them, your audience has unlimited access to the information they need. Even those who are on the go can login to the eLearning platform via their smartphones and tablets, so that they don't have to wait until their next online training session to develop skills and perfect work-related tasks. This is one of the main reasons why a LMS is essential for global audiences in different time zones.

3. Easily tracks learner progress and performance.
The best Learning Management System gives you the ability to keep track of learner progress and ensure that they are meeting their performance milestones.

4. Reduces Learning and Development costs.
A Learning Management System gives you the power to completely do away with instructor travel costs, online training site rentals, and printed eLearning materials. Your online learners can carry out all of their training online, which means that you can save a sizable sum on your Learning and Development budget. For example, you won't have to worry about printing out 500 manuals and booking a hotel room for your instructor, because all the information your online learners require is right in the LMS.

5. Reduces Learning and Development time.
A Learning Management System can even reduce online training times, thanks to the fact that it gives online learners only the information they need in a direct and organized manner. Instead of having to sit through a lengthy half-hour online training course, online learners can simply click on the online modules they need and absorb the knowledge in a fraction of the time. They can also assess their understanding by taking online exams or quizzes, participate in interactive scenarios and simulations, and watch eLearning videos that highlight complex processes or tasks.

6. Quickly and conveniently expands eLearning courses.
If you want to add additional online modules to your eLearning course in order to update information based on new trends or scientific evidence, you can simply login to the Learning Management System and make the necessary modifications without redoing your entire eLearning course. All of the content is in one location, which allows you to change only the master eLearning course and then deploy it to all of your online learners. This is in stark contrast to a traditional course, where you would have to send every member of your audience an updated manual or updated handouts.

From Beginner to Expert PHP Framework (CodeIgniter) Developer

We know that you're here because you value your time. If you wanted to watch someone program for hours and hours without explaining what they're doing, you'd be on YouTube.

By getting this course, you can be rest assured that the course is carefully thought out and edited. There are beautiful animations that explain all the difficult concepts and we're always on hand to answer student questions.

So by the end of the course, you'll completely understand:

PHP Framework (CodeIgniter) to level of building your own software especially LMS.

Learn how work with API's (Youtube, Vimeo and many others)

Learn how to create add-on to your existing projects

How to use Ajax, jQuery effectively

Build complete LMS

How to create secure email verification system

Software Design: How to organise and format code for readability and how to implement the Model ­View­ Controller (MVC) design pattern.

Control Structures: Using If/­Else clauses, Switch statements and logic to control the flow of execution.

Concepts of Object Oriented Programming (OOP): The type system, variables, functions and methods, inheritance, classes and protocols.

Don't waste your time

Don't waste another minute of your precious life on poor quality videos on YouTube or instructors who you can't understand or teachers who have no real world in-person teaching experience. Your time is precious. Take this course and find out why everybody is raving about it and why many students rated my courses 5 stars!

Don't waste your money

Inside this course, you're getting exactly the same course materials and curriculum as our 16 weeks in-person programming bootcamp. Save loads of money by getting this course and do it at your own pace!

Those that will benefit from this course :

If you have never programmed before, then take this course to learn

If you know how to code, but are new to programming, then take this course to build web Apps.

If you are a developer, then take this course to see how much time you can save building real world software - Complete Udemy Clone

If you've tried PHP Framework (CodeIgniter) before, then take this course to get a comprehensive curriculum that covers all the important aspects of PHP Framework (CodeIgniter) development

Entrepreneurs Who Want to Build Web Apps with Single Codebase

Managers and Program Managers Who Want to Learn How to Build Complete Hospital Management System.

Anyone wanting to learn to code in a practical way

Anyone who wants to kick start a career or hobby developing apps

This is the only course on this platform where students can drop their desired features and both the students and the instructor will develop it together. This is also a course where more features will be added by the instructor and each section will be released everyday.

Join us NOW as we build this awesome software together using one of the best PHP Framework (CodeIgniter) !

Who this course is for
Beginner developer want to learn more about PHP Framework
Professional who want to add more to their knowledge
Those who want to know how to build udemi clone
Developers who want to be PHP Framework expert.
Beginner Codeigniter developers curious about how to build college system
Business men/women who want to go into onine course business
Those who want to increase their daily revenue
Freelance who want to increase thier skills
Developers who want to write code like a professional

Homepage

Code:

http://anonymz.com/?https://www.udemy.com/course/build-learning-management-system-udemi-clone-using-php/

Code:

https://nitroflare.com/view/A71105107B4DEA3/Build_Online_Learning_Management_System_Using_PHP_(2021).part1.rar
https://nitroflare.com/view/EBF78CB5A6BEAD5/Build_Online_Learning_Management_System_Using_PHP_(2021).part2.rar
https://nitroflare.com/view/00757A94B7E23FF/Build_Online_Learning_Management_System_Using_PHP_(2021).part3.rar
https://nitroflare.com/view/50553D29449AEE2/Build_Online_Learning_Management_System_Using_PHP_(2021).part4.rar
https://nitroflare.com/view/423AA44A5AB5576/Build_Online_Learning_Management_System_Using_PHP_(2021).part5.rar
https://nitroflare.com/view/A2DBCE3C9561996/Build_Online_Learning_Management_System_Using_PHP_(2021).part6.rar
https://nitroflare.com/view/C71AE92ABA26198/Build_Online_Learning_Management_System_Using_PHP_(2021).part7.rar

Code:

https://rapidgator.net/file/3d5e7ce7e63f482a78e5d8c839d534a6/Build_Online_Learning_Management_System_Using_PHP_(2021).part1.rar.html
https://rapidgator.net/file/5053dc13aa7d2f20ab2ee8bd0b17c729/Build_Online_Learning_Management_System_Using_PHP_(2021).part2.rar.html
https://rapidgator.net/file/be5a28443ec1f226326f071c46c13bfa/Build_Online_Learning_Management_System_Using_PHP_(2021).part3.rar.html
https://rapidgator.net/file/37c6dff0a3d4c3af5dad46c2cac074d8/Build_Online_Learning_Management_System_Using_PHP_(2021).part4.rar.html
https://rapidgator.net/file/4304d2dcfcaa952aaa5956f341b127ac/Build_Online_Learning_Management_System_Using_PHP_(2021).part5.rar.html
https://rapidgator.net/file/c001f2564d8d71e21f9490f52e83f8cd/Build_Online_Learning_Management_System_Using_PHP_(2021).part6.rar.html
https://rapidgator.net/file/0083ed320ce22134af2a20c7972f0a48/Build_Online_Learning_Management_System_Using_PHP_(2021).part7.rar.html

[Slon]

Advanced CSS For Web Developers
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + .srt | Duration: 105 lectures (10h 33m) | Size: 5.7 GB

The most comprehensive program to learn and master modern CSS development

What you'll learn:
Learn the fundamentals of CSS from ground up
Learn everything about modern web development using CSS

Requirements
It is a beginner's course perfect for new developers who just have basic knowledge of HTML


Description
Learn Advanced CSS to create beautiful websites in no time!

Every developer knows that the HTML is the backbone of the web content - but its close counterpart CSS or Cascading Style Sheets is equally important as well. Often CSS is used to style, format & present web content.

It is a very powerful language that can make web content beautiful, customized CMS, add animation & so on. Not only this, but the web developers proficient in Advanced CSS are also in demand & get a high paying salary.

Though CSS might be incredibly powerful, it is also popular for being a tricky technology to learn, and even harder to get a stronghold.

But it is not true when you are ready to give your time & learn it step-by-step. Considering this, we have curated this course that will help you learn advanced CSS without any hassle.

Why you should learn CSS?

CSS is a cornerstone programming language of the internet

It is very powerful

Heavily used alongside HTML & JavaScript

Important for front-end web development

Can add transitions & animations

Helps in creating mobile-friendly websites

Why you should take this course?

It is a perfect course curated for any programmer seeking to learn the advanced concepts of CSS. All its sections are carefully crafted by an expert for giving you an in-depth understanding of advanced CSS. It covers both basics as well as advanced concepts ensuring a complete understanding of various aspects of CSS programming language.

This course includes:

Introduction to CSS, developer tools, custom CSS properties

Typography- font classification, font MIME types, web fonts & variable fonts

Text clipping, text transformation, text transitions & animations

Responsive text

Basic to advanced list styles

Pure CSS accordions, CSS slider, CSS forms

Graphics- colors, backgrounds, gradients, borders, filters, responsiveness

Layout- content box vs border box, box model layout, clearfix, Flexbox, Grid

Transitions & animations

Multiple & asynchronous transitions

2D & 3D transforms

Basic, Sprite & SVG animations

Real-time projects on HTML & CSS, and so much more

Get started with this Advanced CSS course right away to learn one of the cornerstone programming languages of the internet!!

Who this course is for
Any one who wants to learn HTML and CSS comprehensively will find this course very useful

Homepage

Code:

http://anonymz.com/?https://www.udemy.com/course/advanced-css-for-web-developers/

Code:

https://nitroflare.com/view/FFAAC7F5D6A4B09/Advanced_CSS_For_Web_Developers.part1.rar
https://nitroflare.com/view/C3F6810E83F40C2/Advanced_CSS_For_Web_Developers.part2.rar
https://nitroflare.com/view/D8DAD22E7FF1D50/Advanced_CSS_For_Web_Developers.part3.rar
https://nitroflare.com/view/FD00A1E4BC9B634/Advanced_CSS_For_Web_Developers.part4.rar
https://nitroflare.com/view/949F9F6C7473D71/Advanced_CSS_For_Web_Developers.part5.rar
https://nitroflare.com/view/60CF89A3DAA47BA/Advanced_CSS_For_Web_Developers.part6.rar

Code:

https://rapidgator.net/file/553cb08b09766226706d10b1d3e70d36/Advanced_CSS_For_Web_Developers.part1.rar.html
https://rapidgator.net/file/3111554df8b092b6ab1e11ffeb928f97/Advanced_CSS_For_Web_Developers.part2.rar.html
https://rapidgator.net/file/1a97b7a60f9161684f0debb47d1d7b77/Advanced_CSS_For_Web_Developers.part3.rar.html
https://rapidgator.net/file/b370282cf12e4a4c8ea683b3ad5d9e51/Advanced_CSS_For_Web_Developers.part4.rar.html
https://rapidgator.net/file/87801427144e2dac2db5b3513721d498/Advanced_CSS_For_Web_Developers.part5.rar.html
https://rapidgator.net/file/9c45849df18a20aef7b1c731d321820b/Advanced_CSS_For_Web_Developers.part6.rar.html

[Slon]

Azure Kubernetes Service with Azure DevOps and Terraform
Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: aac, 44100 Hz
Language: English | SRT | Size: 11.3 GB | Duration: 27h 29m



What you'll learn
You will learn to build Azure AKS Production grade clusters using Azure AKS CLI
You will learn terraform from basics and create terraform manifests for provisioning Azure AKS Production grade clusters
You will learn to provision Azure AKS Clusters using Terraform and Azure DevOps.
You will learn 30+ kubernetes concepts and use 21 Azure Services in combination with Azure AKS
You will implement DevOps concepts with Azure DevOps Continuous Integration Pipelines and Continuous Deliver Pipelines also called Release Pipelines
You will write Azure DevOps CI Pipelines from scratch using Starter Pipelines
You will write kubernetes manifests with confidence after going through live template writing sections
You will learn Kubernetes Fundamentals in both imperative and declarative approaches
You will learn writing & deploying k8s manifests for storage concepts like storage class, persistent volume claim pvc, mysql
You will learn to switch from native Azure Disks to Azure MySQL Database using k8s external name service
You will learn writing and deploying load balancer k8s manifests for Azure Standard Load Balancer
You will learn writing ingress k8s manifests by enabling features like context path based routing, domain name based routing, SSL with LetsEncrypt and External DNS.
You will learn writing k8s manifests for Azure Virtual Nodes (serverless) and do mixed mode workload deployments in both Azure Linux NodePools and Virtual Nodes.
You will learn using ACR - Azure Container Registry in combination with AKS in 3 ways (ACR Attach, using Service Principal, on Virtual Nodes)
You will learn to enable Autoscaling features like HPA & Cluster Autoscaler
You will learn Docker fundamentals by implementing usecases like download image from Docker Hub and run on local desktop and build an image locally, test and push to Docker Hub.
You will master many kubectl commands over the process
You will learn to integrate Azure AKS with Azure Active Directory for AKS Admins to be created managed in Azure Active Directory
You will learn Kubernetes RBAC concepts like role, role-binding, cluster role, cluster role binding in combination with Azure AD for Azure AKS granular level access control
Requirements
You must have an Azure Cloud account to follow with me for hands-on activities.
You dont need to have any basic Docker or kubernetes knowledge to start this course.

Description
******* Course Overview *******

Welcome to this Amazing course on Azure AKS Kubernetes - Masterclass | Azure DevOps, Terraform. Below is the list of modules covered in this course.

Course Modules

Create Azure AKS Cluster using Azure Portal

Docker Fundamentals

Imperative Method: Kubernetes Fundamentals using kubectl

Declarative Method: Kubernetes Fundamentals using YAML

Azure Disks for AKS Storage

Custom Storage Class, PVC, and PV

AKS default Storage class, PVC and PV

User Management Web Application Deployment with MySQL as storage using Storage Class, PVC, and PV

Azure MySQL for AKS Storage

Kubernetes Secrets

Azure Files for AKS Storage

Ingress Basics

Ingress Context path based Routing

Azure DNS Zones - Delegate domain from AWS to Azure

Ingress and External DNS with Azure DNS Zones

Ingress Domain Name based Routing with External DNS

Ingress SSL with LetsEncrypt

Kubernetes Requests & Limits

Kubernetes Namespaces

Kubernetes Namespaces - Imperative

Kubernetes Namespaces - Limit Range

Kubernetes Namespaces - Resource Quota

Azure Virtual Nodes for AKS

Azure Virtual Nodes Basics

Azure AKS Virtual Nodes Mixed Mode Deployments

Azure Container Registry for AKS

Integrate Azure Container Registry ACR with AKS

Azure AKS Pull Docker Images from ACR using Service Principal

Pull Docker Images from ACR using Service Principal and Run on Azure Virtual Nodes

Azure DevOps with AKS Cluster

Azure DevOps - Build and Push Docker Image to Azure Container Registry

Azure DevOps - Build, Push to ACR and Deploy to AKS

Azure DevOps - Create Starter Pipeline

Azure DevOps - Release Pipelines

Azure AKS - Enable HTTP Application Routing AddOn

Azure AKS Authentication with Azure AD and Kubernetes RBAC

Azure AKS Cluster Access with Multiple Clusters

Azure AD Integration with Azure AKS for Authentication

Kubernetes RBAC Role & Role Binding with Azure AD on AKS

Kubernetes RBAC Cluster Role & Role Binding with AD on AKS

Azure AKS Cluster Autoscaling

Azure AKS - Cluster Autoscaler

Azure AKS - Horizontal Pod Autoscaler HPA

Azure AKS Production Grade Cluster Design using AZ AKS CLI

Create Azure AKS Cluster using AZ AKS CLI

Create Azure AKS Linux, Windows, and Virtual Node Pools

Deploy Apps to Azure AKS Linux, Windows, and Virtual Node Pools

Provision Azure AKS Clusters using Terraform

Terraform Command Basics

Terraform Language Basics

Provision AKS Cluster using Terraform

Create AKS Cluster Linux and Windows Node Pools

Create an Azure AKS Cluster using Custom Virtual Network

Provision Azure AKS using Terraform & Azure DevOps

Azure Services Covered

Azure Kubernetes Service

Azure Disks

Azure Files

Azure MySQL Database

Azure Storage Accounts

Azure Cloud Shell

Azure Load Balancer

Azure DNS Zones

Azure Container Registries ACR

Azure Container Registries ACR with Azure Service Principal

Azure DevOps - Build Pipelines with ACR & Github Repositories

Azure DevOps - Release Pipelines with AKS

Azure Public IP Address

Azure Standard Load Balancer

Azure Virtual Networks

Azure Active Directory

Azure Container Instances - Virtual Nodes

Azure AKS Windows and Linux User NodePools

Azure Managed Service Identity - MSI

Azure Virtual Machine Scale Sets

Azure Log Analytics Workspaces for Azure Monitor

Kubernetes Concepts Covered

Kubernetes Architecture

Pods

ReplicaSets

Deployments

Services - Load Balancer Service

Services - Cluster IP Service

Services - External Name Service

Services - Ingress Service

Services - Ingress SSL & SSL Redirect

Services - Ingress & External DNS

Services - Domain Name based Routing

Imperative - with kubectl

Declarative - Declarative with YAML

Secrets

Init Containers

Requests & Limits

Namespaces - Imperative

Namespaces - Limit Range

Namespaces - Resource Quota

Storage Classes

Persistent Volumes

Persistent Volume Claims

Services - Load Balancers

Annotations

HPA - Horizontal Pod Autoscaler

CA - Cluster Autoscaler

Config Maps

RBAC - Role & Role Bindings

RBAC - Cluster Role & Cluster Role Bindings

Virtual Kubelet

Secrets - Image Pull Secrets

Each of my courses come with

Amazing Hands-on Step By Step Learning Experiences

Real Implementation Experience

Friendly Support in the Q&A section

30 Day "No Questions Asked" Money Back Guarantee!


Who this course is for:
Azure Architects or Sysadmins or Developers who are planning to master Azure Kubernetes Service (AKS) for running applications on Kubernetes
Any beginner who is interested in learning kubernetes on cloud using Azure AKS.
Any beginner who is interested in learning Azure DevOps, Terraform to provision Azure Kubernetes Clusters


Homepage

Code:

https://anonymz.com/?https://www.udemy.com/course/azure-kubernetes-service-with-azure-devops-and-terraform/

Code:

https://nitroflare.com/view/52360BA70D6CCBD/azure_kubernetes_service_with_azure_devops_and_terraform.part01.rar
https://nitroflare.com/view/E57A7F6F9ADCB82/azure_kubernetes_service_with_azure_devops_and_terraform.part02.rar
https://nitroflare.com/view/2F7E2FF948C663B/azure_kubernetes_service_with_azure_devops_and_terraform.part03.rar
https://nitroflare.com/view/F42BDEAE83B85FD/azure_kubernetes_service_with_azure_devops_and_terraform.part04.rar
https://nitroflare.com/view/4F38E759704586B/azure_kubernetes_service_with_azure_devops_and_terraform.part05.rar
https://nitroflare.com/view/95AE3D621213896/azure_kubernetes_service_with_azure_devops_and_terraform.part06.rar
https://nitroflare.com/view/E51FE7D54220FA4/azure_kubernetes_service_with_azure_devops_and_terraform.part07.rar
https://nitroflare.com/view/016AF96F02E4BD7/azure_kubernetes_service_with_azure_devops_and_terraform.part08.rar
https://nitroflare.com/view/22AEED65ACF604E/azure_kubernetes_service_with_azure_devops_and_terraform.part09.rar
https://nitroflare.com/view/B629564842EAE2C/azure_kubernetes_service_with_azure_devops_and_terraform.part10.rar
https://nitroflare.com/view/FC6DE1E8AD0CA54/azure_kubernetes_service_with_azure_devops_and_terraform.part11.rar
https://nitroflare.com/view/C112A0F29A042EA/azure_kubernetes_service_with_azure_devops_and_terraform.part12.rar

Code:

https://rapidgator.net/file/d58eead3f223ea3a51021ebb2e2bfd9f/azure_kubernetes_service_with_azure_devops_and_terraform.part01.rar.html
https://rapidgator.net/file/1df60fe50f7315e97c5122d528c5fc31/azure_kubernetes_service_with_azure_devops_and_terraform.part02.rar.html
https://rapidgator.net/file/22b4bcb0c8cc88e1558e894afe43fd42/azure_kubernetes_service_with_azure_devops_and_terraform.part03.rar.html
https://rapidgator.net/file/6b7b055f283e633f5dfec3c49fe600a2/azure_kubernetes_service_with_azure_devops_and_terraform.part04.rar.html
https://rapidgator.net/file/b028f640ab964e52f0710417d7cb7864/azure_kubernetes_service_with_azure_devops_and_terraform.part05.rar.html
https://rapidgator.net/file/1144beb7e3e1eac2fb5d308a234930c4/azure_kubernetes_service_with_azure_devops_and_terraform.part06.rar.html
https://rapidgator.net/file/346c99891b382fb4a91a169c37506d2d/azure_kubernetes_service_with_azure_devops_and_terraform.part07.rar.html
https://rapidgator.net/file/7fac6581fd410013fd1ba90f88115e63/azure_kubernetes_service_with_azure_devops_and_terraform.part08.rar.html
https://rapidgator.net/file/b1312e33a5887fd4b4227acd3abb80ed/azure_kubernetes_service_with_azure_devops_and_terraform.part09.rar.html
https://rapidgator.net/file/d4f023b07117b36d32eb79dfd76db532/azure_kubernetes_service_with_azure_devops_and_terraform.part10.rar.html
https://rapidgator.net/file/0bd70eaf2ea9221038b2dbafe038ce26/azure_kubernetes_service_with_azure_devops_and_terraform.part11.rar.html
https://rapidgator.net/file/07846a54e9aea5fe580b91221e8c1da6/azure_kubernetes_service_with_azure_devops_and_terraform.part12.rar.html

[Slon]

Mobile Video Journalism: iPhone Video Course for Journalists
Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: aac, 48000 Hz
Language: English | SRT | Size: 6.73 GB | Duration: 6h 42m



What you'll learn
Best practices for producing, filming, and editing mobile video
How to use the Filmic Pro app to capture broadcast-quality smartphone video
How to develop a mobile video story from start to finish
Master storyboarding techniques and mobile video story forms
Produce a portfolio of mobile videos with 10 projects
Develop in-depth interviewing techniques that deliver great results
How to edit a branded video on a mobile device for quick publishing
The basics of editing on iMovie (and other video apps)
How to deliver for a polished, professional look to your video stories
The secrets to creating social video that resonates with a mobile audience!
Requirements
No previous experience is required
You will need a late-model smartphone (iOS or Android)
Some apps we show are paid, but are not expensive. Many are free.

Description
Mobile Video Journalism Course - Android and iPhone video production workflows.

"Robb is an excellent instructor. He knows his subject matter and teaches each module clearly. I highly recommend his course. Enroll now!"
- Jayson Guerrero ★★★★★

This comprehensive Mobile Journalism Masterclass was originally developed to train CNN journalists in 2014 and it is updated frequently with new tutorials. It has been used to train thousands of reporters and uses proven distance learning techniques.

This course will teach you the methods that produce professional-looking video packages every time.

This instructor has more than 1,000 ★★★★★ reviews on his Smart Film college courses.

The lessons in this course were developed from the experiences of training thousands of broadcast journalists how to tell stories with their mobile phones. Get the same training that professional broadcasters use.

"Robb is very clear and straightforward in his teaching, and I appreciate the way his lectures are backed up with slide or text reviews. Production quality is professional. Highly recommended!"

- Stephen Box ★★★★★

This step-by-step class teaches all aspects of video production: From interviewing to editing.



What you'll learn:

Best practices for producing, filming, and editing mobile video

How to use the Filmic Pro app to capture broadcast-quality video

How to develop a mobile video story from start to finish

Master storyboarding, script writing and story forms

Produce a portfolio of mobile videos with the included story projects

Develop in-depth interviewing techniques that deliver great results

Produce and edit a branded video on a mobile device for quick publishing

The basics of editing on iMovie (and other video apps)

How to deliver for a polished, professional look to your mobile video stories

The secrets to creating video that resonates with a mobile audience!

You will learn how to produce professional video in this course.

"I am a mobile journalism educator and professional. I took Robb's course to gain additional training and found out how little I actually knew! Robb's course is great for, both, beginners and advanced mobile journalists."

- Len Clark, University of Notre Dame ★★★★★

No previous video production experience is required.

"The instructor's language is easy to catch up with, all explanations are deep yet easy to understand even for a beginner."

- Priyag Kurup ★★★★★

There are more than 25,000 happy students enrolled in Smart Film college courses including field reporters from Reuters video, CNN and The New York Times.

I encourage you to read the five-star reviews from real people, just like you.

Enroll today.

NOTE: An instructor-led, diploma version of this video course content is used by more than 50 universities and professional media organizations - details at the Smart Film college web site.


Who this course is for:
Journalists
Media students
Mobile journalism trainers
Social Media teams
Communications teams
Social media teams
Journalism instructors
Correspondents
Broadcasters


Homepage

Code:

https://anonymz.com/?https://www.udemy.com/course/mobile-journalism-video-for-cnn-correspondents/

Code:

https://nitroflare.com/view/6A8DEEA5B14C662/mobile_journalism_video_for_cnn_correspondents.part1.rar
https://nitroflare.com/view/93D2F431CF3F239/mobile_journalism_video_for_cnn_correspondents.part2.rar
https://nitroflare.com/view/E540CAE5132F3C5/mobile_journalism_video_for_cnn_correspondents.part3.rar
https://nitroflare.com/view/8BA9A50010F4A90/mobile_journalism_video_for_cnn_correspondents.part4.rar
https://nitroflare.com/view/C2E4A625E2E71DD/mobile_journalism_video_for_cnn_correspondents.part5.rar
https://nitroflare.com/view/55CCE093B153D5B/mobile_journalism_video_for_cnn_correspondents.part6.rar
https://nitroflare.com/view/1E165C2D9D52778/mobile_journalism_video_for_cnn_correspondents.part7.rar

Code:

https://rapidgator.net/file/45c314343f93ed9fa271606563ac55a3/mobile_journalism_video_for_cnn_correspondents.part1.rar.html
https://rapidgator.net/file/d124a931a9762bb0ae689b7d5a175619/mobile_journalism_video_for_cnn_correspondents.part2.rar.html
https://rapidgator.net/file/8c801e7988570cde10eaeea8ceebe7c2/mobile_journalism_video_for_cnn_correspondents.part3.rar.html
https://rapidgator.net/file/262177feed2d32c413241c3940964c0a/mobile_journalism_video_for_cnn_correspondents.part4.rar.html
https://rapidgator.net/file/2f13c49d0f138bd5b1283a6c1c997b26/mobile_journalism_video_for_cnn_correspondents.part5.rar.html
https://rapidgator.net/file/6698fb7e5d9f65c01453387f15249cfe/mobile_journalism_video_for_cnn_correspondents.part6.rar.html
https://rapidgator.net/file/72728659fd4dcaa31edbdd3d7aef51a3/mobile_journalism_video_for_cnn_correspondents.part7.rar.html

[Slon]

Media Composer 2020 Essential Training: 110 Fundamentals 2
Duration: 9h 20m | .MP4 1280x720, 30 fps® | AAC, 48000 Hz, 2ch | 14.7 GB
Genre: eLearning | Language: English

Learn to import, edit, refine, and output video using Avid Media Composer. This course is the second part of a two-part, start-to-finish, project-based training series designed to get you up to speed on the Media Composer environment in context of the Avid Everywhere model. Maxim Jago -an Avid Certified Instructor with 20 years of experience-focuses on getting users comfortable with each aspect of the editing process-from preparation and organization, to editing and trimming video, to audio mixing and effects, to media management and output. You can also learn creative techniques for retiming footage, tracking and blurring objects, creating precise mattes, and more. Each technique within the post-production workflow is explained thoroughly and concisely, using real-world examples from a documentary-style promotional project.This course is an official companion to Media Composer 101: Media Composer Fundamentals I, the introductory book from Avid. In each chapter, Maxim expands on the lessons and exercises found in the book. Together, these resources can help novice users quickly start leveraging this powerful software.This course was created by Maxim Jago. We are pleased to host this training in our library.

More Info

Code:

https://www.lynda.com/Media-Composer-tutorials/Media-Composer-2020-Essential-Training-110-Fundamentals-2-REVISION/3128327-2.html

Code:

https://nitroflare.com/view/D9ECCFB2313E80A/Media-Composer-2020-Essential-Training-110-Fundamentals-2.part01.rar
https://nitroflare.com/view/7E60B57375248FA/Media-Composer-2020-Essential-Training-110-Fundamentals-2.part02.rar
https://nitroflare.com/view/C47FA3AC684DE0F/Media-Composer-2020-Essential-Training-110-Fundamentals-2.part03.rar
https://nitroflare.com/view/560B50E57302743/Media-Composer-2020-Essential-Training-110-Fundamentals-2.part04.rar
https://nitroflare.com/view/8ABF7C1D1E89CC0/Media-Composer-2020-Essential-Training-110-Fundamentals-2.part05.rar
https://nitroflare.com/view/FDFC33A622AEBBB/Media-Composer-2020-Essential-Training-110-Fundamentals-2.part06.rar
https://nitroflare.com/view/883EE2EB93C4C07/Media-Composer-2020-Essential-Training-110-Fundamentals-2.part07.rar
https://nitroflare.com/view/60C5B3A508FC0BD/Media-Composer-2020-Essential-Training-110-Fundamentals-2.part08.rar
https://nitroflare.com/view/9401FA3DDD43133/Media-Composer-2020-Essential-Training-110-Fundamentals-2.part09.rar
https://nitroflare.com/view/CD17347BF899588/Media-Composer-2020-Essential-Training-110-Fundamentals-2.part10.rar
https://nitroflare.com/view/F9A2BE485AD6E73/Media-Composer-2020-Essential-Training-110-Fundamentals-2.part11.rar
https://nitroflare.com/view/FADD56931799A65/Media-Composer-2020-Essential-Training-110-Fundamentals-2.part12.rar
https://nitroflare.com/view/160D08E21BD0517/Media-Composer-2020-Essential-Training-110-Fundamentals-2.part13.rar
https://nitroflare.com/view/4755B18DEEBD3C1/Media-Composer-2020-Essential-Training-110-Fundamentals-2.part14.rar
https://nitroflare.com/view/4626434F439C8C3/Media-Composer-2020-Essential-Training-110-Fundamentals-2.part15.rar
https://nitroflare.com/view/3EF27993B967FA3/Media-Composer-2020-Essential-Training-110-Fundamentals-2.part16.rar
https://nitroflare.com/view/F360D849E141006/Media-Composer-2020-Essential-Training-110-Fundamentals-2.part17.rar
https://nitroflare.com/view/B98507614B9BDF5/Media-Composer-2020-Essential-Training-110-Fundamentals-2.part18.rar
https://nitroflare.com/view/D7FCDA7133E2FD6/Media-Composer-2020-Essential-Training-110-Fundamentals-2.part19.rar

Code:

https://rapidgator.net/file/7a94a89f19635ad87e1f77c1b5ae9e89/Media-Composer-2020-Essential-Training-110-Fundamentals-2.part01.rar.html
https://rapidgator.net/file/019538b22db63d86907050d881b8fa41/Media-Composer-2020-Essential-Training-110-Fundamentals-2.part02.rar.html
https://rapidgator.net/file/353373636cb605a78f38e3fa412652aa/Media-Composer-2020-Essential-Training-110-Fundamentals-2.part03.rar.html
https://rapidgator.net/file/33c382fe5b9d8c662b98a59894f5d171/Media-Composer-2020-Essential-Training-110-Fundamentals-2.part04.rar.html
https://rapidgator.net/file/226836fa6588cad79d056e3eaab05aa5/Media-Composer-2020-Essential-Training-110-Fundamentals-2.part05.rar.html
https://rapidgator.net/file/31f9e99ea5e1d61b697eb12aecef2fbe/Media-Composer-2020-Essential-Training-110-Fundamentals-2.part06.rar.html
https://rapidgator.net/file/5b2e38bca91ca1d37f82649f4f30c5db/Media-Composer-2020-Essential-Training-110-Fundamentals-2.part07.rar.html
https://rapidgator.net/file/65b32e1c74b14b9ea8a8b79d34124a15/Media-Composer-2020-Essential-Training-110-Fundamentals-2.part08.rar.html
https://rapidgator.net/file/0c04b7a56c39022204ececa07e56a2aa/Media-Composer-2020-Essential-Training-110-Fundamentals-2.part09.rar.html
https://rapidgator.net/file/cf526eff0caed25936acd70d1547ec38/Media-Composer-2020-Essential-Training-110-Fundamentals-2.part10.rar.html
https://rapidgator.net/file/59e8bae0afce69025242e140f72de40c/Media-Composer-2020-Essential-Training-110-Fundamentals-2.part11.rar.html
https://rapidgator.net/file/8694d1c5c278cd589340977d23a073ad/Media-Composer-2020-Essential-Training-110-Fundamentals-2.part12.rar.html
https://rapidgator.net/file/4f3f118c3913caf8fdadfe5fdbd9e543/Media-Composer-2020-Essential-Training-110-Fundamentals-2.part13.rar.html
https://rapidgator.net/file/05d0fd2810de8f3e0cdbf9cb49b98ffc/Media-Composer-2020-Essential-Training-110-Fundamentals-2.part14.rar.html
https://rapidgator.net/file/2f4e1046dcbea79876083f6e94038029/Media-Composer-2020-Essential-Training-110-Fundamentals-2.part15.rar.html
https://rapidgator.net/file/79edcf64ba3e46a2418617f3ab09449c/Media-Composer-2020-Essential-Training-110-Fundamentals-2.part16.rar.html
https://rapidgator.net/file/9080ca400b66c230cbc2d1fd0340e53c/Media-Composer-2020-Essential-Training-110-Fundamentals-2.part17.rar.html
https://rapidgator.net/file/1a2d950a3f45e73778dfa0dc1853d4cd/Media-Composer-2020-Essential-Training-110-Fundamentals-2.part18.rar.html
https://rapidgator.net/file/3f32281aeb471b24f615a7705f2b80bc/Media-Composer-2020-Essential-Training-110-Fundamentals-2.part19.rar.html

[Slon]

Media Composer 2020 Essential Training: 101 Fundamentals 1
Duration: 9h 35m | .MP4 1280x720, 30 fps® | AAC, 48000 Hz, 2ch | 6.12 GB
Genre: eLearning | Language: English

Get up and running with Media Composer, the feature-rich video editing software from Avid. In this project-based course, the first installment in a two-part series, learn how to approach each aspect of the editing process with Media Composer 2020. After familiarizing you with the software's interface, Maxim Jago-an Avid Certified Instructor with 20 years of experience-demonstrates how to create a brand-new project and import media. He then helps you get comfortable with each stage of the editing workflow. Learn how to prepare the timeline for editing, add audio and effects, create titles, manage media, export a video sequence, and much more. Maxim thoroughly explains each technique within the post-production workflow, using real-world examples along the way.This course is an official companion to Media Composer 101: Media Composer Fundamentals I, the introductory book from Avid. In each chapter, Maxim expands on the lessons and exercises found in the book. Together, these resources can help novice users quickly start leveraging this powerful software.This course was created by Maxim Jago. We are pleased to host this training in our library.

More Info

Code:

https://www.lynda.com/Media-Composer-tutorials/Media-Composer-2020-Essential-Training-101-Fundamentals-1-REVISION/3128326-2.html

Code:

https://nitroflare.com/view/E0F9099C9E6615F/Media-Composer-2020-Essential-Training-101-Fundamentals-1-REVISION.part1.rar
https://nitroflare.com/view/968F985D49D883A/Media-Composer-2020-Essential-Training-101-Fundamentals-1-REVISION.part2.rar
https://nitroflare.com/view/8BEEBC8AC599DAB/Media-Composer-2020-Essential-Training-101-Fundamentals-1-REVISION.part3.rar
https://nitroflare.com/view/C6C42BDE7F0A4B7/Media-Composer-2020-Essential-Training-101-Fundamentals-1-REVISION.part4.rar
https://nitroflare.com/view/D03595F743C0B77/Media-Composer-2020-Essential-Training-101-Fundamentals-1-REVISION.part5.rar
https://nitroflare.com/view/2F923A63FB5BF6A/Media-Composer-2020-Essential-Training-101-Fundamentals-1-REVISION.part6.rar
https://nitroflare.com/view/E89BF89C61D6D16/Media-Composer-2020-Essential-Training-101-Fundamentals-1-REVISION.part7.rar

Code:

https://rapidgator.net/file/b2ee92e2919290f3e11056bf8f898aa3/Media-Composer-2020-Essential-Training-101-Fundamentals-1-REVISION.part1.rar.html
https://rapidgator.net/file/5528e88c8cd7ee373ff69f7a0007f935/Media-Composer-2020-Essential-Training-101-Fundamentals-1-REVISION.part2.rar.html
https://rapidgator.net/file/8b330d40205b9416d55dbcede4019780/Media-Composer-2020-Essential-Training-101-Fundamentals-1-REVISION.part3.rar.html
https://rapidgator.net/file/b194b4fc9206f49b4a95c17382feee17/Media-Composer-2020-Essential-Training-101-Fundamentals-1-REVISION.part4.rar.html
https://rapidgator.net/file/f3b9ff460a03a415fddbfe2d08143919/Media-Composer-2020-Essential-Training-101-Fundamentals-1-REVISION.part5.rar.html
https://rapidgator.net/file/d6e571820af867044ab657e5f3825e33/Media-Composer-2020-Essential-Training-101-Fundamentals-1-REVISION.part6.rar.html
https://rapidgator.net/file/720d6dcb2a3cb56a9bace528b972a218/Media-Composer-2020-Essential-Training-101-Fundamentals-1-REVISION.part7.rar.html

[Slon]

Linear Algebra for Machine Learning
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 58 Lessons (6h 32m) | Size: 15 GB

Overview

Linear Algebra for Machine Learning LiveLessons provides you with an understanding of the theory and practice of linear algebra, with a focus on machine learning applications.

About the Instructor

Jon Krohn is Chief Data Scientist at the machine learning company untapt. He authored the book Deep Learning Illustrated (Addison-Wesley, 2020), an instant #1 bestseller that has been translated into six languages. Jon is renowned for his compelling lectures, which he offers in-person at Columbia University and New York University, as well as online via O'Reilly, YouTube, and the Super Data Science Podcast. Jon holds a PhD from Oxford and has been publishing on machine learning in leading academic journals since 2010; his papers have been cited over a thousand times.

Skill Level
Intermediate
Learn How To
Appreciate the role of algebra in machine and deep learning
Understand the fundamentals of linear algebra, a ubiquitous approach for solving for unknowns within high-dimensional spaces
Develop a geometric intuition of what's going on beneath the hood of machine learning algorithms, including those used for deep learning
Be able to more intimately grasp the details of machine learning papers as well as all of the other subjects that underlie ML, including calculus, statistics, and optimization algorithms
Manipulate tensors of all dimensionalities including scalars, vectors, and matrices, in all of the leading Python tensor libraries: NumPy, TensorFlow, and PyTorch
Reduce the dimensionality of complex spaces down to their most informative elements with techniques such as eigendecomposition (eigenvectors and eigenvalues), singular value decomposition, and principal components analysis
Who Should Take This Course
Users of high-level software libraries (e.g., scikit-learn, Keras, TensorFlow) to train or deploy machine learning algorithms who would now like to understand the fundamentals underlying the abstractions, enabling them to expand their capabilities
Software developers who would like to develop a firm foundation for the deployment of machine learning algorithms into production systems
Data scientists who would like to reinforce their understanding of the subjects at the core of their professional discipline
Data analysts or AI enthusiasts who would like to become a data scientist or data/ML engineer and are keen to deeply understand from the ground up the field they're entering (very wise!)
Course Requirements
Mathematics: Familiarity with secondary college-level mathematics will make the course easier to follow. If you are comfortable dealing with quantitative information-such as understanding charts and rearranging simple equations-then you should be well-prepared to follow along with all of the mathematics.
Programming: All code demos are in Python so experience with it or another object-oriented programming language would be helpful for following along with the hands-on examples.
Lesson Descriptions

Lesson 1: Orientation to Linear Algebra
In Lesson 1, Jon starts with a definition of linear algebra. He then shows you how to use it to solve for unknowns in a system of linear equations. Next, he discusses why linear algebra is so crucial in modern machine learning, including deep learning. Finally, he finishes up with a brief history of algebra and some comprehension exercises.

Lesson 2: Data Structures for Algebra
Lesson 2 focuses on tensors, the fundamental data structure of linear algebra. Jon starts off with zero-dimensional scalar tensors. Then, he covers one-dimensional vector tensors, including the topics of transposition, norms, and unit vectors, as well as the bases for orthogonal and orthonormal vectors. The lesson wraps up with two-dimensional matrix tensors and higher-dimensional n tensors and a few exercises.

Lesson 3: Common Tensor Operations
Lesson 3 is about common tensor operations, including transposition, basic tensor arithmetic, reduction, and the dot product. It finishes up with exercises.

Lesson 4: Solving Linear Systems
In Lesson 4 you take a brief break from hands-on code demos to learn how to solve systems of linear systems by hand. The focus is on substitution and elimination strategies. The lesson finishes with exercises to reinforce those concepts.

Lesson 5: Matrix Multiplication
Lesson 5 is about matrix multiplication. Matrix-by-vector multiplication is covered first, followed by matrix-by-matrix multiplication. Next, the concepts of symmetric and identity matrices are discussed, followed by exercises that show their relevance to matrix multiplication. Finally, Jon wraps up with an explanation of the critical role of matrix multiplication in machine learning and deep learning applications.

Lesson 6: Special Matrices and Matrix Operations
Lesson 6 covers a number of special matrices and special matrix operations that are essential to machine learning. These include the Frobenius norm, matrix inversion, diagonal matrices, orthogonal matrices, and the trace operator.

Lesson 7: Eigenvectors and Eigenvalues
Lesson 7 begins with Jon discussing what the eigenconcept is all about. He follows this with some exercises to warm you up for playing around with eigenvectors in Python, including high-dimensional eigenvectors.

Lesson 8: Matrix Determinants and Decomposition
Jon begins Lesson 8 by illustrating how to calculate the determinant of a 2 x 2 matrix as well as the determinant for larger matrices. This prepares you for being able to work on some exercises on determinants on your own. The second half of the lesson discusses the relationship between determinants and eigenvalues and provides an overview of the broad range of eigendecomposition applications in the real world.

Lesson 9: Machine Learning with Linear Algebra
In Lesson 9 Jon helps you tie together many of the concepts you have been introduced to previously to power many useful machine learning applications. You learn singular value decomposition to compress a media file, the Moore-Penrose pseudoinverse to form a regression, and principal component analysis to break down a dataset into its most influential components. Finally, Jon provides you with resources for your further study of linear algebra.

Code:

https://nitroflare.com/view/6FFFCD2FD91F291/Linear_Algebra_for_Machine_Learning.part01.rar
https://nitroflare.com/view/D2BCE10C3C8C7C4/Linear_Algebra_for_Machine_Learning.part02.rar
https://nitroflare.com/view/48B22C39DF593A6/Linear_Algebra_for_Machine_Learning.part03.rar
https://nitroflare.com/view/BC7621BE57160AE/Linear_Algebra_for_Machine_Learning.part04.rar
https://nitroflare.com/view/141BDA66C25C4C0/Linear_Algebra_for_Machine_Learning.part05.rar
https://nitroflare.com/view/12D1D332A06A35F/Linear_Algebra_for_Machine_Learning.part06.rar
https://nitroflare.com/view/B2227D8677AFEB3/Linear_Algebra_for_Machine_Learning.part07.rar
https://nitroflare.com/view/54F6ABAB241B8BB/Linear_Algebra_for_Machine_Learning.part08.rar
https://nitroflare.com/view/26AE44F36CBA127/Linear_Algebra_for_Machine_Learning.part09.rar
https://nitroflare.com/view/9B6778F588531B5/Linear_Algebra_for_Machine_Learning.part10.rar
https://nitroflare.com/view/041D4FEFA602F2A/Linear_Algebra_for_Machine_Learning.part11.rar
https://nitroflare.com/view/11FE4FAB9A37072/Linear_Algebra_for_Machine_Learning.part12.rar
https://nitroflare.com/view/7501F7ADCE08564/Linear_Algebra_for_Machine_Learning.part13.rar
https://nitroflare.com/view/FBE2DF33035EE1B/Linear_Algebra_for_Machine_Learning.part14.rar
https://nitroflare.com/view/D62EF6F5F1AF70F/Linear_Algebra_for_Machine_Learning.part15.rar

Code:

https://rapidgator.net/file/234f26960e14610238a84079e09c03de/Linear_Algebra_for_Machine_Learning.part01.rar.html
https://rapidgator.net/file/7881bfd7cb131abc88a170e619da3125/Linear_Algebra_for_Machine_Learning.part02.rar.html
https://rapidgator.net/file/aa55dfc60119057ff832e839d4eef73f/Linear_Algebra_for_Machine_Learning.part03.rar.html
https://rapidgator.net/file/8dd9f81bddbba8fb5851e9bcd3706211/Linear_Algebra_for_Machine_Learning.part04.rar.html
https://rapidgator.net/file/ea83506dab36fd360f0598034607ac0e/Linear_Algebra_for_Machine_Learning.part05.rar.html
https://rapidgator.net/file/2f197dd5991cb7f0f704f79354f027c9/Linear_Algebra_for_Machine_Learning.part06.rar.html
https://rapidgator.net/file/6750cbcbcdacb2c50b8a1637f96abbd5/Linear_Algebra_for_Machine_Learning.part07.rar.html
https://rapidgator.net/file/aee415dbb20c4dbadccabedc56f86a74/Linear_Algebra_for_Machine_Learning.part08.rar.html
https://rapidgator.net/file/41094ed611956c13f327ec6fbf5c61a1/Linear_Algebra_for_Machine_Learning.part09.rar.html
https://rapidgator.net/file/f912cf97f5ee62591b30a4802467851e/Linear_Algebra_for_Machine_Learning.part10.rar.html
https://rapidgator.net/file/1f9ce19541388697b0469efc841238d9/Linear_Algebra_for_Machine_Learning.part11.rar.html
https://rapidgator.net/file/ea1fd889e1c7936dc35225665759f076/Linear_Algebra_for_Machine_Learning.part12.rar.html
https://rapidgator.net/file/e39a6b24f5a04fc3fdb2d86d34d723c8/Linear_Algebra_for_Machine_Learning.part13.rar.html
https://rapidgator.net/file/683e061164c434e259202e8a50118c7d/Linear_Algebra_for_Machine_Learning.part14.rar.html
https://rapidgator.net/file/5a749f3a8486a5bcccd5fda69f46656a/Linear_Algebra_for_Machine_Learning.part15.rar.html

[Slon]

Data Science & Machine Learning(Theory+Projects)A-Z 90 HOURS
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + .srt | Duration: 628 lectures (90h 10m) | Size: 30 GB

Mastering Data Science & Machine Learning using Python-A to Z-Learn Statistics, Preprocessing & Reinforcement Learning

What you'll learn:
Key data science and machine learning concepts right from the beginning with a complete unfolding with examples in Python.
Essential Concepts and Algorithms in Machine Learning
Python for Data Science and Data Analysis
Data Understanding and Data Visualization with Python
Probability and Statistics in Python
Feature Engineering and Dimensionality Reduction with Python
Artificial Neural Networks with Python
Convolutional Neural Networks with Python
Recurrent Neural Networks with Python
Reinforcement Learning
Detailed Explanation and Live Coding with Python
Building your own AI applications.

Requirements
• No prior knowledge is needed. You will start with the basic concepts and gradually build your knowledge of the subject.
• Enthusiasm and willingness to learn and practice.


Description
Comprehensive Course Description:

Electrification was, without a doubt, the greatest engineering marvel of the 20th century. The electric motor was invented way back in 1821, and the electrical circuit was mathematically analyzed in 1827. But factory electrification, household electrification, and railway electrification all started slowly several decades later.

Fast forward to today. It's the same story with Artificial Intelligence (AI). The field of AI was formally founded in 1956. But it's only now-more than six decades later-that AI is expected to revolutionize the way humanity will live and work in the coming decades.

Data science is a large field of study that covers data systems and processes. These systems and processes are aimed at maintaining data sets as well as getting meaning out of them. Machine Learning (ML), a branch of AI, is the concept that systems can automatically learn and adapt from experience without human intervention. ML, essentially, aims to equip machines with independent learning techniques.

Data Science & Machine Learning Full Course in 90 Hours is exhaustive and covers various topics in both these fields in great detail.

Data science specialists use a combination of algorithms, applications, principles, and tools to gain a real sense of random data clusters. You are probably aware that organizations worldwide are generating exponential amounts of data. So, monitoring and storing all this data becomes very difficult. This is where data science plays a vital role by focusing on data modeling and data warehousing.

Both AI and ML are important to data scientists because they can work equally well in both with ease. The expertise of these skilled professionals allows them to switch roles quickly, too. And in the life cycle of a data science project, this can be a critical factor.

What makes this Data Science and Machine Learning course unique?

This learning by doing course provides you with not only a solid theoretical foundation but also practical hands-on training in data science and machine learning. At the end of this course, you will be equipped with the knowledge of all the essential concepts you need to excel as a Data Science professional.

When you take a quick look at the different sections of this all-inclusive course, you may think of these sections as being independent. But that's not the case. These sections are interlinked and almost sequential. While it's true that the course is divided into multiple sections, it's also true that each section is an independent concept, or you can view it as a course on its own.

We have deliberately arranged these sections in a sequence. The reason for this is each subsequent section builds upon the sections you have completed. This framework enables you to explore more independent concepts easily.

Data Science & Machine Learning Full Course in 90 HOURS is crafted to teach you the most in-demand skills in the real world. This course aims to help you understand all the data science and machine learning concepts and methodologies with regards to Python. The course is:

· Comfortably paced.

· Easy to understand.

· Descriptive and expressive.

· Exhaustive.

· Practical with live coding.

· Rich with the most advanced and recently discovered models and breakthroughs by the champions in the AI universe.

This course is designed for beginners, but we will explore complex concepts gradually.

You will find this course interesting, and you will move ahead easily, as it is a compilation of all the basics. You will make quick progress and experience more than what you have learned. At the end of every subsection, you are assigned Home Work/exercises/activities to assess / further strengthen your learning. All this assessment is based on the previous concepts and methods you have learned. Several of these assessment tasks will be coding based, as the main aim is to get you up and proceed to implementations.

Data Science is doubtless a rewarding career. You get to resolve some of the most interesting data issues and earn a handsome salary package for your efforts. After you finish Data Science & Machine Learning Full Course in 90 HOURS, you will be able to easily tackle real-world problems and ensure steady career growth.

Unlike other courses, this comprehensive course is not expensive. In fact, you can learn all the concepts and methodologies of Data Science and Machine Learning at a fraction of the cost. Our tutorials are divided into 700+ brief HD videos along with detailed code notebooks.

Enroll in this course and start your learning journey in Data Science and Machine Learning. This course really simplifies all the complex concepts for you. You will not find an easier course that inspires you as much along your learning journey.

Teaching is our passion:

We work meticulously to create online tutorials with instructors who are willing to share their expertise and help you in understanding all the concepts. The aim is to create a strong basic understanding for you before you move onward to the advanced version. Detailed course notes, high-quality video content, learning assessment questions, meaningful course material, and subject-related handouts are some of the perks of this course. You are also assured of the support of a dedicated instructor every step of the way. You can approach our team in case of any queries.

Course content:

1. Python for Data Science and Data Analysis

a. You start with problem-solving and finish with fancy indexing and plots in Matplotlib.

b. No prior knowledge in any computer science language is assumed.

c. Great fun with Python language.

d. Reasonable treatment of data science packages (NumPy, Pandas, Matplotlib, Seaborn, and Sklearn).

e. After this course, you will be a competent Python programmer as well as a reasonable expert of data science packages (NumPy, Pandas, Matplotlib).

f. This section is designed to teach you programming in general also. Therefore, shifting from this language to any other language after this section is not difficult.

2. Data Understanding and Data Visualization with Python

a. This section deals with the in-depth treatment of data science packages both for data manipulation as well as data visualization.

b. While Section 1 focuses more on Python language, this section focuses completely on data science packages and their efficient use.

c. The packages covered in this section include NumPy, Pandas, Matplotlib, Seaborn, Bokeh, Plotly, and Folium.

d. As far as we know, this is the most comprehensive section on data understanding and visualization among the available ones.

e. Further, this section is designed to reduce the dependency on core Python language to be treated independently, as well.

f. 2D and 3D visualizations, interactive visualizations, and geographic maps are also covered.

g. Proceeding in data science with being able to effectively play with the data using famous packages makes progress much worse, and this section addresses this concern.

3. Mastering Probability and Statistics in Python

a. Obviously, concepts in data science are not new. In fact, it is also believed that data science is merely a renamed version of Probability and Statistics. Well, without being biased to that extent, we will say that the practical nature of applications was uncovered earlier even though the theory traces back to Probability and Statistics.

b. One way or the other, knowing Probability and Statistics makes a significant theoretical as well as practical difference.

c. Most of the courses on Probability and Statistics, however, fail to link the data science practices and theory by merely focusing on the axiomatic treatment of the subject.

d. We build this section by keeping the practical needs of data science in mind as well as the importance of theory.

e. Wherever important, we deliberately explain and show the relationships by derivations and even through Python Code.

f. This section builds a very sound basis for understanding the classical concepts in data science as well as its more recent generalizations.

g. We start with the very basics of Probability, go through inference and estimations, link famous machine learning techniques with conditional probability, and finally, show that Deep Neural Networks indeed learn a probability function eventually.

4. Machine Learning Crash Course

a. Although several concepts, or even all, fall under the umbrella of Probability and Statistics, it turns out that most of the concepts have made their own practical place, mostly derived through engineering, with the name of Machine Learning. For example, the term "overfitting" is now referring to the area of machine learning.

b. Machine Learning brings its own set of practices to reach the demands of automation. Hence, mastering these concepts becomes inevitable.

c. This section is actually a quick walkthrough of the concepts in Machine Learning and focuses on all the theoretical as well as practical concepts.

d. We mostly cover applications using the Sklearn Python package and build machine learning pipelines in this section.

e. We also elaborate on more advanced areas of machine learning, which we later present as separate sections.

5. Feature Engineering and Dimensionality Reduction with Python

a. Knowing the sections you have covered thus far certainly brings you a huge clarity of the field. But there is still one thing that brings the improvements in the results with a reasonable margin, and that is data preprocessing or data preparation.

b. Most of the data science today relies on preparing the data suitable for machine learning models. An effective way of data preparation, most of the time, becomes a game-changer.

c. This section focuses on data preparation for machine learning models.

d. We build this section to provide an understanding of why selecting features and transforming features are important.

e. We also discuss practical issues with real data, like missing values and non-numeric data.

f. We discuss the performance improvements both in terms of execution time as well as the accuracy of the models.

g. We explain the required mathematical background in a simple way.

h. Finally, all the concepts are made more easily understandable by coding relevant examples in Python.

6. Artificial Neural Networks with Python

a. With the availability of a huge quantity of data as well as computation power, a relatively old machine learning model, Artificial Neural Network turns out to be the game-changer in data science.

b. Artificial Neural Network can approximate almost any pattern in the data. Further, it has a much greater data utilization capacity as compared to the more classical methods.

c. With the recent rise of ANNs, a lot of practical techniques are also discovered, particularly for ANNs.

d. Also, working with a large amount of data brings its own challenges for learning algorithms.

e. In this section, we address all these concerns and cover ANNs in depth.

f. We also introduce another framework, "TensorFlow," for working in ANNs.

g. With this section in hand, you can now target much larger machine learning problems.

7. Convolutional Neural Networks with Python

a. ANNs, in its most basic form, is not that suitable for image data and for the problems in computer vision.

b. Convolutional Neural Networks (CNNs) are considered a game-changer in the field of computer vision. CNNs are not limited to images only. You'll find them everywhere now, from audio processing to more advanced reinforcement learning (i.e., Resnets in AlphaZero). So, the understanding of CNNs becomes inevitable in all the fields of data science. Even most of the Recurrent Neural Networks (RNNs) rely on CNNs nowadays.

c. In this section, you will to learn about:

i. The significance of CNNs in data science.

ii. The reasons to shift to CNNs from hand engineering (classical computer vision).

iii. The major concepts from the absolute beginning with complete unfolding with examples in Python.

iv. Practical explanation and live coding with Python.

v. Evolution of CNNs - LeNet (1990s) to MobileNets (2020s).

vi. Intricate details of CNNs including examples of training CNNs.

vii. TensorFlow (Google's deep learning framework).

viii. The use and applications of CNNs (with implementations in framework TensorFlow) that are more recent and advanced in terms of accuracy and efficiency.

ix. The use and applications of pre-trained CNNs (with implementations in framework TensorFlow) for transfer learning on your own dataset.

x. Building your own applications for Human Face-Verification and Neural Style Transfer.

8. Recurrent Neural Networks with Python

a. In this section, you will learn about:

i. The significance of Recurrent Neural Networks (RNNs) in data science.

ii. The reasons to shift to RNNs from classical sequence models.

iii. The important concepts from the absolute beginning with comprehensive unfolding with examples in Python.

iv. Practical explanation and live coding with Python.

v. Intricate details of RNNs with examples and derivations.

vi. The use and applications of RNNs (with implementations in framework TensorFlow) that are more recent and advanced.

vii. Building your own applications for automatic text generation as well as for stock price prediction.

9. Reinforcement Learning

a. The training data is not always available, and the learner may have to learn through experience. This, in fact, is true in most the cases, particularly when the learner is acting in an uncertain and non-stationary environment.

b. The learner needs to act in real-time and, hence, has to decide its action in real- time in response to the environment (a self-driving car, for example).

c. Reinforcement Learning (RL) brings its own challenges, and their solutions sometimes are much different than the solutions offered by supervised as well as unsupervised learning.

d. Large scale RL problems do require the knowledge of ANNs to model the problem.

e. Reinforcement Learning is considered as game-changer in the field of data science, particularly after observing the winnings of CHESS and GO against human champions. However, RL is not restricted to games only. RL is everywhere now, ranging from Recommender Systems to more advanced applications in stock prediction. So, an understanding of RL becomes inevitable in all the fields of data science.

f. In this section, you will learn about:

i. The importance of Reinforcement Learning (RL) in data science.

ii. The key concepts from the absolute beginning with complete unfolding with examples in Python.

iii. Practical explanation and live coding with Python.

iv. Applications of Probability Theory.

v. Markov Decision Processes.

After completing this course successfully, you will be able to:

· Relate the concepts, principles, and theories in Data Science & Machine Learning.

· Understand the methodology of Data Science & Machine Learning using real datasets.


Who this course is for:

· People who want to become perfect in their data speak.

· People who want to learn Data Science & Machine Learning with real datasets in Data Science.

· People from a non-engineering background who want to enter the Data Science field.

· People who want to enter the Machine Learning field.

· Individuals who are passionate about numbers and programming.

· People who want to learn Data Science & Machine Learning along with its implementation in realistic projects.

· Data Scientists.

· Business Analysts.

Who this course is for
• People who want to enter the Machine Learning field.
• People who want to become perfect in their data speak.
• People who want to learn Data Science & Machine Learning along with its implementation in realistic projects.
• People who want to learn Data Science & Machine Learning with real datasets in Data Science.
• People from a non-engineering background who want to enter the Data Science field.
• Individuals who are passionate about numbers and programming.
• Beginners in Data Science field.
• Business Analysts.

Homepage

Code:

http://anonymz.com/?https://www.udemy.com/course/data-science-machine-learningtheoryprojectsa-z-90-hours/

Code:

https://nitroflare.com/view/87121D5DFAE866D/Data_Science_%26_Machine_Learning(Theory_Projects)A-Z_90_HOURS.part01.rar
https://nitroflare.com/view/44956EF8CC3B172/Data_Science_%26_Machine_Learning(Theory_Projects)A-Z_90_HOURS.part02.rar
https://nitroflare.com/view/DA8C42EE4054218/Data_Science_%26_Machine_Learning(Theory_Projects)A-Z_90_HOURS.part03.rar
https://nitroflare.com/view/8E52E24C3D1AAFC/Data_Science_%26_Machine_Learning(Theory_Projects)A-Z_90_HOURS.part04.rar
https://nitroflare.com/view/1254B387D283637/Data_Science_%26_Machine_Learning(Theory_Projects)A-Z_90_HOURS.part05.rar
https://nitroflare.com/view/3C72266FE881436/Data_Science_%26_Machine_Learning(Theory_Projects)A-Z_90_HOURS.part06.rar
https://nitroflare.com/view/BC8AF14775CD89F/Data_Science_%26_Machine_Learning(Theory_Projects)A-Z_90_HOURS.part07.rar
https://nitroflare.com/view/8698FF1315DDBE1/Data_Science_%26_Machine_Learning(Theory_Projects)A-Z_90_HOURS.part08.rar
https://nitroflare.com/view/97657EA6DAD0CC8/Data_Science_%26_Machine_Learning(Theory_Projects)A-Z_90_HOURS.part09.rar
https://nitroflare.com/view/2EACC87C30565F8/Data_Science_%26_Machine_Learning(Theory_Projects)A-Z_90_HOURS.part10.rar
https://nitroflare.com/view/C58267220926051/Data_Science_%26_Machine_Learning(Theory_Projects)A-Z_90_HOURS.part11.rar
https://nitroflare.com/view/85FEF7AED3E93B4/Data_Science_%26_Machine_Learning(Theory_Projects)A-Z_90_HOURS.part12.rar
https://nitroflare.com/view/992A73801B7E74B/Data_Science_%26_Machine_Learning(Theory_Projects)A-Z_90_HOURS.part13.rar
https://nitroflare.com/view/6617538A69CA248/Data_Science_%26_Machine_Learning(Theory_Projects)A-Z_90_HOURS.part14.rar
https://nitroflare.com/view/C09BC6F2F9E38AA/Data_Science_%26_Machine_Learning(Theory_Projects)A-Z_90_HOURS.part15.rar
https://nitroflare.com/view/9B791BCE567446E/Data_Science_%26_Machine_Learning(Theory_Projects)A-Z_90_HOURS.part16.rar
https://nitroflare.com/view/2B78671554D0D2F/Data_Science_%26_Machine_Learning(Theory_Projects)A-Z_90_HOURS.part17.rar
https://nitroflare.com/view/E1ED6E2100C927F/Data_Science_%26_Machine_Learning(Theory_Projects)A-Z_90_HOURS.part18.rar
https://nitroflare.com/view/0D6074FC0CE3991/Data_Science_%26_Machine_Learning(Theory_Projects)A-Z_90_HOURS.part19.rar
https://nitroflare.com/view/C813C577B23219F/Data_Science_%26_Machine_Learning(Theory_Projects)A-Z_90_HOURS.part20.rar
https://nitroflare.com/view/14268B193365D7E/Data_Science_%26_Machine_Learning(Theory_Projects)A-Z_90_HOURS.part21.rar
https://nitroflare.com/view/06DA4298F43843E/Data_Science_%26_Machine_Learning(Theory_Projects)A-Z_90_HOURS.part22.rar
https://nitroflare.com/view/CB7AB60905983EB/Data_Science_%26_Machine_Learning(Theory_Projects)A-Z_90_HOURS.part23.rar
https://nitroflare.com/view/4F6F5DD61E6C492/Data_Science_%26_Machine_Learning(Theory_Projects)A-Z_90_HOURS.part24.rar
https://nitroflare.com/view/1EB075EA3B23E55/Data_Science_%26_Machine_Learning(Theory_Projects)A-Z_90_HOURS.part25.rar
https://nitroflare.com/view/E35F1745577B5AE/Data_Science_%26_Machine_Learning(Theory_Projects)A-Z_90_HOURS.part26.rar
https://nitroflare.com/view/D8E699FF057C696/Data_Science_%26_Machine_Learning(Theory_Projects)A-Z_90_HOURS.part27.rar
https://nitroflare.com/view/938ED2E0166AB95/Data_Science_%26_Machine_Learning(Theory_Projects)A-Z_90_HOURS.part28.rar
https://nitroflare.com/view/04408A5180E3445/Data_Science_%26_Machine_Learning(Theory_Projects)A-Z_90_HOURS.part29.rar
https://nitroflare.com/view/3D0D4B2BA6958C3/Data_Science_%26_Machine_Learning(Theory_Projects)A-Z_90_HOURS.part30.rar

Code:

https://rapidgator.net/file/c2e8d98ff6a3e075c949529d7e93f218/Data_Science_&_Machine_Learning(Theory_Projects)A-Z_90_HOURS.part01.rar.html
https://rapidgator.net/file/778bf2429985f29cfe510be1f4915246/Data_Science_&_Machine_Learning(Theory_Projects)A-Z_90_HOURS.part02.rar.html
https://rapidgator.net/file/bcf936a14104065497f6f537b1544c5f/Data_Science_&_Machine_Learning(Theory_Projects)A-Z_90_HOURS.part03.rar.html
https://rapidgator.net/file/f3304fb28f7abac2a0808e5a4988eb6e/Data_Science_&_Machine_Learning(Theory_Projects)A-Z_90_HOURS.part04.rar.html
https://rapidgator.net/file/64bfe0408e7c91334815662235901647/Data_Science_&_Machine_Learning(Theory_Projects)A-Z_90_HOURS.part05.rar.html
https://rapidgator.net/file/6af709df476659308dea98a69a3732aa/Data_Science_&_Machine_Learning(Theory_Projects)A-Z_90_HOURS.part06.rar.html
https://rapidgator.net/file/848fc753d0142f0fc52ed4cdf373f7c1/Data_Science_&_Machine_Learning(Theory_Projects)A-Z_90_HOURS.part07.rar.html
https://rapidgator.net/file/57d785fc6f2dfcf2e202f2067db76670/Data_Science_&_Machine_Learning(Theory_Projects)A-Z_90_HOURS.part08.rar.html
https://rapidgator.net/file/e3d0b267849805ff0a2c0edb5f279f02/Data_Science_&_Machine_Learning(Theory_Projects)A-Z_90_HOURS.part09.rar.html
https://rapidgator.net/file/09424617b9c5de66fb0e35c91596495f/Data_Science_&_Machine_Learning(Theory_Projects)A-Z_90_HOURS.part10.rar.html
https://rapidgator.net/file/84c1b05568f89c36c5c1b20c746b8896/Data_Science_&_Machine_Learning(Theory_Projects)A-Z_90_HOURS.part11.rar.html
https://rapidgator.net/file/03ecd14ca654cbd7277d76a0c75ee71b/Data_Science_&_Machine_Learning(Theory_Projects)A-Z_90_HOURS.part12.rar.html
https://rapidgator.net/file/dce00d40965f2dafaf83cbb366c301fc/Data_Science_&_Machine_Learning(Theory_Projects)A-Z_90_HOURS.part13.rar.html
https://rapidgator.net/file/e04580d95c77ade3a3d101f090fe1793/Data_Science_&_Machine_Learning(Theory_Projects)A-Z_90_HOURS.part14.rar.html
https://rapidgator.net/file/6ce3666d22a5a4653419496601d85394/Data_Science_&_Machine_Learning(Theory_Projects)A-Z_90_HOURS.part15.rar.html
https://rapidgator.net/file/faca5fe0ba0dc80e5d5e414570abb9c3/Data_Science_&_Machine_Learning(Theory_Projects)A-Z_90_HOURS.part16.rar.html
https://rapidgator.net/file/25ed82ffb05c08415fd93c7a308b5869/Data_Science_&_Machine_Learning(Theory_Projects)A-Z_90_HOURS.part17.rar.html
https://rapidgator.net/file/1c8ba57c8c2eed64f5aea4d26702e4df/Data_Science_&_Machine_Learning(Theory_Projects)A-Z_90_HOURS.part18.rar.html
https://rapidgator.net/file/b7fbe8382848f3bc7c1b152df8685c79/Data_Science_&_Machine_Learning(Theory_Projects)A-Z_90_HOURS.part19.rar.html
https://rapidgator.net/file/6a3817c3417543c86efa9c8dcc245f35/Data_Science_&_Machine_Learning(Theory_Projects)A-Z_90_HOURS.part20.rar.html
https://rapidgator.net/file/c005de91042a10e5517bda1c0500548c/Data_Science_&_Machine_Learning(Theory_Projects)A-Z_90_HOURS.part21.rar.html
https://rapidgator.net/file/1d661a3d87498a8a3d529d95ebffec5b/Data_Science_&_Machine_Learning(Theory_Projects)A-Z_90_HOURS.part22.rar.html
https://rapidgator.net/file/069d996ea641099e53b167b5e9d71727/Data_Science_&_Machine_Learning(Theory_Projects)A-Z_90_HOURS.part23.rar.html
https://rapidgator.net/file/c21e39b83b8b0dc9cf3f055daef3ae16/Data_Science_&_Machine_Learning(Theory_Projects)A-Z_90_HOURS.part24.rar.html
https://rapidgator.net/file/6be8dc4a0747797b36c53c552432ff13/Data_Science_&_Machine_Learning(Theory_Projects)A-Z_90_HOURS.part25.rar.html
https://rapidgator.net/file/d6f465d72e07481d292d0e910f6dd8ed/Data_Science_&_Machine_Learning(Theory_Projects)A-Z_90_HOURS.part26.rar.html
https://rapidgator.net/file/24f980e1304f4b90aa5b74a8f54631f5/Data_Science_&_Machine_Learning(Theory_Projects)A-Z_90_HOURS.part27.rar.html
https://rapidgator.net/file/cb9552a41863a98db6d39882aa80d8bd/Data_Science_&_Machine_Learning(Theory_Projects)A-Z_90_HOURS.part28.rar.html
https://rapidgator.net/file/eea88c00de4331b0d7eee59f1877909a/Data_Science_&_Machine_Learning(Theory_Projects)A-Z_90_HOURS.part29.rar.html
https://rapidgator.net/file/f591966cd7bb6202e41ed28821855202/Data_Science_&_Machine_Learning(Theory_Projects)A-Z_90_HOURS.part30.rar.html

[Slon]

CSS Demystified Start writing CSS with confidence
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 177 Lessons (20h 45m) | Size: 8.42 GB

By unravelling CSS, you can stop wasting your time, start making progress, and take that next step forward as a developer. CSS seems easy at first, but the deeper into it you get, the more complicated it becomes
We all reach a point where CSS starts to frustrate us.
Whether it's

Struggling to get a layout to behave.
Running into issues with positioning.
Making small changes that end up having unintended consequences.
Often we end up trying to fix problems by adding more and more code on top and hoping for the best.

That leads to fragile code and hours of wasted time while you try to get things to work properly

As frustrating as CSS can seem though, it doesn't have to be that way.

CSS is based on rules and logic (even if it doesn't always feel that way). Instead of fighting with CSS, if you learn about how CSS is built at its very core, and you start to work with how it's meant to work, it can actually be a lot of fun.

Learn to embrace CSS
CSS is an essential language for putting a website together, but it's often ignored in favor of the latest JS framework.

CSS is often seen as simple language because it has a simple syntax and then it's pooped on because it doesn't behave like other languages.

CSS is it's own language though, and in this course, we're going to learn to embrace it for what it is, take advantage of its differences, and really start to understand what the heck is going on with CSS.

This course is about diving in and really understanding how CSS is meant to work.

We'll be exploring why it's different from other languages and how to change our mindset to work with it properly.

The course will be broken down into three weeks, and is a combination of:

Theory and slides, all through video lessons
Exercises to put the theory into practice
Challenges to reinforce what you've learned
Access to private Discord channels to ask questions
Live training and Q&A sessions for each module in the course
A full-page build to reinforce what we learned through the first two modules
A 3-page site to put everything we've learned into practice

Homepage

Code:

http://anonymz.com/?https://cssdemystified.com/

Code:

https://nitroflare.com/view/ABB1E9C77FB1273/CSS_Demystified_Start_writing_CSS_with_confidence.part01.rar
https://nitroflare.com/view/ADCAFE122AAD824/CSS_Demystified_Start_writing_CSS_with_confidence.part02.rar
https://nitroflare.com/view/D661A8326A00611/CSS_Demystified_Start_writing_CSS_with_confidence.part03.rar
https://nitroflare.com/view/10BC4DE176EF3C2/CSS_Demystified_Start_writing_CSS_with_confidence.part04.rar
https://nitroflare.com/view/D18CA0E79FB3B13/CSS_Demystified_Start_writing_CSS_with_confidence.part05.rar
https://nitroflare.com/view/31B4EBFF858FBB0/CSS_Demystified_Start_writing_CSS_with_confidence.part06.rar
https://nitroflare.com/view/A78AADBBC8BB20E/CSS_Demystified_Start_writing_CSS_with_confidence.part07.rar
https://nitroflare.com/view/32C2DF161207AF0/CSS_Demystified_Start_writing_CSS_with_confidence.part08.rar
https://nitroflare.com/view/BEACA060124EAC0/CSS_Demystified_Start_writing_CSS_with_confidence.part09.rar

Code:

https://rapidgator.net/file/9c613c19d45f0ade5b40dd5259820291/CSS_Demystified_Start_writing_CSS_with_confidence.part01.rar.html
https://rapidgator.net/file/d9d1c1c467adf155a7fa910b0a9ce1f5/CSS_Demystified_Start_writing_CSS_with_confidence.part02.rar.html
https://rapidgator.net/file/f422d1a12a268fb23601643b0e60c915/CSS_Demystified_Start_writing_CSS_with_confidence.part03.rar.html
https://rapidgator.net/file/52f6f5f449ac63416395be39b5ae5b40/CSS_Demystified_Start_writing_CSS_with_confidence.part04.rar.html
https://rapidgator.net/file/d95f11f94dbd2e06949dae33a97fb32e/CSS_Demystified_Start_writing_CSS_with_confidence.part05.rar.html
https://rapidgator.net/file/37c31e3f3b8ec5d0e08b56adae99336b/CSS_Demystified_Start_writing_CSS_with_confidence.part06.rar.html
https://rapidgator.net/file/0f586f778f07dadbf71ec28e71de68bb/CSS_Demystified_Start_writing_CSS_with_confidence.part07.rar.html
https://rapidgator.net/file/3b62234297f0f7eac75ee6bb04f306bd/CSS_Demystified_Start_writing_CSS_with_confidence.part08.rar.html
https://rapidgator.net/file/52ad620c5f973253b49cc98765f4aae6/CSS_Demystified_Start_writing_CSS_with_confidence.part09.rar.html

[Slon]

World of Computer Networking (Update)
Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: aac, 48000 Hz
Language: English | SRT | Size: 13.5 GB | Duration: 12h 28m



What you'll learn
How Computer Network operates
What are TCP/IP and OSI model
Logical and hardware addressing of the devices (IP addresses and MAC addresses)
Encapsulation and decapsulation of data
Requirements
Just your computer or mobile phone
Be ready to learn Computer Networking with me!

Description
Computer Networking is now everywhere and we use Internet, the largest computer network in the world, every single day

Learn fundamental concepts of the Computer Networking together with me in the easy, structured format.

You will learn:

-TCP/IP and OSI models

-MAC addresses and IP addresses

-Ethernet protocol

-IPv4 and IPv6

-Routers, switches, access points and firewalls

This course includes also tons of practice activities in order to make you apply gained knowledge on practice.


Who this course is for:
Anyone who want to get fundamental knowledge about Computer Networking and network devices
Computer Network Professionals
Software developers
DevOps engineers


Homepage

Code:

https://anonymz.com/?https://www.udemy.com/course/world-of-computer-networking/

Code:

https://nitroflare.com/view/9BD2BD1FEE783AA/world_of_computer_networking.part01.rar
https://nitroflare.com/view/A99E03A51CF6F4B/world_of_computer_networking.part02.rar
https://nitroflare.com/view/03B1622DD446B30/world_of_computer_networking.part03.rar
https://nitroflare.com/view/075466A37B9EBC3/world_of_computer_networking.part04.rar
https://nitroflare.com/view/0DA5CAB0F8C5EA2/world_of_computer_networking.part05.rar
https://nitroflare.com/view/216F1750C6F4F9A/world_of_computer_networking.part06.rar
https://nitroflare.com/view/25EC5794EE07EE0/world_of_computer_networking.part07.rar
https://nitroflare.com/view/4EECF46B9D2DE28/world_of_computer_networking.part08.rar
https://nitroflare.com/view/AD400DC6C2F4A3D/world_of_computer_networking.part09.rar
https://nitroflare.com/view/29A28880C3FE304/world_of_computer_networking.part10.rar
https://nitroflare.com/view/10C0391C47D0B51/world_of_computer_networking.part11.rar
https://nitroflare.com/view/7FDFBDB36806D1E/world_of_computer_networking.part12.rar
https://nitroflare.com/view/AD1BD36FAB1EDE9/world_of_computer_networking.part13.rar
https://nitroflare.com/view/7501F28BD731B63/world_of_computer_networking.part14.rar

Code:

https://rapidgator.net/file/77945657ca8d8d81439658cc54d6ecbd/world_of_computer_networking.part01.rar.html
https://rapidgator.net/file/11f841894f8eea333ef6215b7c0eb056/world_of_computer_networking.part02.rar.html
https://rapidgator.net/file/ed811ae5aca1ce56bbdcca7b9f7c9e27/world_of_computer_networking.part03.rar.html
https://rapidgator.net/file/39ff4ff3d78f6df8199684cdef710b8f/world_of_computer_networking.part04.rar.html
https://rapidgator.net/file/58fe58dc5718fbcbec75cedc35126424/world_of_computer_networking.part05.rar.html
https://rapidgator.net/file/ad81334d814a433ca9c64f5ffbcf4eea/world_of_computer_networking.part06.rar.html
https://rapidgator.net/file/8bb97d8ce4ad35a0be177ead6f294014/world_of_computer_networking.part07.rar.html
https://rapidgator.net/file/035ad4de3bd139fdfbec284229c684a6/world_of_computer_networking.part08.rar.html
https://rapidgator.net/file/3ec4cda212a1027c9d5f837ee4c0d68b/world_of_computer_networking.part09.rar.html
https://rapidgator.net/file/143de1755d2ae35d03ea44e41045b7f9/world_of_computer_networking.part10.rar.html
https://rapidgator.net/file/064e67dc490771ed9a9c131c34b5aed5/world_of_computer_networking.part11.rar.html
https://rapidgator.net/file/8cced7fd289ac66b530da52b259e0f3b/world_of_computer_networking.part12.rar.html
https://rapidgator.net/file/cf4403b967c299b3952b09bab42bdae2/world_of_computer_networking.part13.rar.html
https://rapidgator.net/file/4637bd8e214235426126d88d418fc50d/world_of_computer_networking.part14.rar.html

[Slon]

WebSphere 8.5 Administration - Hands-On & Practical
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + .srt | Duration: 100 lectures (18h 44m) | Size: 9 GB

In-depth explanation of concepts , plus hands-on labs using commandline and GUI. Immediately usable for day2 operations

What you'll learn:
Fullly practical,real-time WebSphere Administration
Perform all WebSphere Admin activities just like real time
Learn Enterprise WebSphere Architecture on Linux Distributed Environment
Understand how WebSphere is run on multiple servers with multiple instances
Learn how to extend WebSphere Cell to multiple boxes(nodes) with 20-30 servers per Cell
Understand HighAvalicablity clusters and replication
Learn how to Deploy various types of applications in commandline

Requirements
Knowledge of basic commands of Linux will be helpful
Know the basics of IT


Description
Fullly practical, real-time WebSphere Administration

Perform all WebSphere Admin activities just like a pro

In-Depth explanation on advanced topics like clustering, performance tuning of WebSphere Architecture on Linux Distributed Environment

Complete hands-on Labs on Troubleshooting using Garbage collection logs, Dumps -

Understand how WebSphere is run on multiple servers with multiple instances

Learn how to extend WebSphere Cell to multiple boxes(nodes) with 20-30 servers per Cell

Understand HighAvalicablity clusters and replication

Learn how to Deploy various types of applications in commandline

Who this course is for
Anyone who wants to acquire the knowledge to manage WebSphere application server in their project
DevOps engineers and cloud architects who have legacy applications deployed on WebSphere Application Server

Homepage

Code:

http://anonymz.com/?https://www.udemy.com/course/websphere-85-administration-hands-on-practical/

Code:

https://nitroflare.com/view/494BA9026C91CAB/WebSphere_8_5_Administration_-_Hands-On_%26_Practical.part01.rar
https://nitroflare.com/view/F7997CD0C5E8725/WebSphere_8_5_Administration_-_Hands-On_%26_Practical.part02.rar
https://nitroflare.com/view/6234138766D90CD/WebSphere_8_5_Administration_-_Hands-On_%26_Practical.part03.rar
https://nitroflare.com/view/7387BABE680B98D/WebSphere_8_5_Administration_-_Hands-On_%26_Practical.part04.rar
https://nitroflare.com/view/7CE0B3AC27E9D8B/WebSphere_8_5_Administration_-_Hands-On_%26_Practical.part05.rar
https://nitroflare.com/view/9211A7D902318F6/WebSphere_8_5_Administration_-_Hands-On_%26_Practical.part06.rar
https://nitroflare.com/view/24B23D8EA8B09FA/WebSphere_8_5_Administration_-_Hands-On_%26_Practical.part07.rar
https://nitroflare.com/view/1F00889E26217A6/WebSphere_8_5_Administration_-_Hands-On_%26_Practical.part08.rar
https://nitroflare.com/view/DCF007435C3102F/WebSphere_8_5_Administration_-_Hands-On_%26_Practical.part09.rar
https://nitroflare.com/view/A74C36552BDEC2A/WebSphere_8_5_Administration_-_Hands-On_%26_Practical.part10.rar

Code:

https://rapidgator.net/file/ff59ea370a4a50f6064983bcd5392e77/WebSphere_8_5_Administration_-_Hands-On_&_Practical.part01.rar.html
https://rapidgator.net/file/6d1514c20cdba3fe6488e7201c7a582c/WebSphere_8_5_Administration_-_Hands-On_&_Practical.part02.rar.html
https://rapidgator.net/file/f914ce95f1b3a3d6da796fba6972448f/WebSphere_8_5_Administration_-_Hands-On_&_Practical.part03.rar.html
https://rapidgator.net/file/64e46390ea41093275c0c3936d83ca1c/WebSphere_8_5_Administration_-_Hands-On_&_Practical.part04.rar.html
https://rapidgator.net/file/de20da48f513059be0550726c609d4e6/WebSphere_8_5_Administration_-_Hands-On_&_Practical.part05.rar.html
https://rapidgator.net/file/1518cc40c5dc3b77aa4e180765873080/WebSphere_8_5_Administration_-_Hands-On_&_Practical.part06.rar.html
https://rapidgator.net/file/815582e18e0d705d98fb268dfe6480bf/WebSphere_8_5_Administration_-_Hands-On_&_Practical.part07.rar.html
https://rapidgator.net/file/b65a2c395355a4eb8fcd4101ed006cbe/WebSphere_8_5_Administration_-_Hands-On_&_Practical.part08.rar.html
https://rapidgator.net/file/6504a5aa446b97b80f9b4be72985844d/WebSphere_8_5_Administration_-_Hands-On_&_Practical.part09.rar.html
https://rapidgator.net/file/02f4d595fbec64f3182f6edff7da12c7/WebSphere_8_5_Administration_-_Hands-On_&_Practical.part10.rar.html

[Slon]

Root Cause Analysis and the 8D Corrective Action Process
Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: aac, 48000 Hz
Language: English | SRT | Size: 7.35 GB | Duration: 9h 32m



What you'll learn
Root Cause Analysis
The 8D Corrective Action Process
Quantitative tools such as Capability Analysis, Control Charts, MSA, Regression Analysis and more
Qualitative tools such as 5 Why, Concentration Diagrams, Cause and Effect Diagrams and more
Corrective action strategies including andon, shifting means, correlating process and product variables, poke yoke and much more
Control charts and their interpretation
Cross-functional team building

Requirements
General knowledge of quality and manufacturing is helpful
General knowledge of Microsoft Excel


Description
"Root Cause Analysis and the 8D Corrective Action Process" will show you:

How to assemble an effective problem definition.

The value of creating an cross-functional team.

How to develop interim containment solutions to shield your customer from receiving further defects.

The connection between an organization's traceability system and the RCA and 8D process.

How to use popular quality tools to find root cause such as pareto analysis, interviewing, the Ishikawa diagram, the concentration diagram, 5 Why analysis and much more.

How to use analytical tools such as capability analysis, regression analysis, measurement systems analysis, control charting and more to further clarify your root causes and develop potential corrective actions.

A sampling of corrective action strategies such as andon, shifting the process mean, correlating process to product variables, standardizing work instructions, poke yoke, automated inspection and much more.

How to verify your corrective activities for effectiveness.

How to develop parallel and preventive activities for maximize the impact of your problem solutions.

How to acknowledge your team's success.

"Root Cause Analysis and the 8D Corrective Action Process" not only relies on the "tried and true" methods developed by the quality gurus of old, but also draws upon decades of real life experience by providing dozens of actual examples from manufacturing and engineering.

If you need to take your problem solving skills and knowledge of quality engineering practices to the next level, this is the class for you!


Who this course is for:
Quality Engineers
Industrial Engineers
Production Supervisors
Quality Managers
Process Technicians
Manufacturing Managers


Homepage

Code:

https://anonymz.com/?https://www.udemy.com/course/root-cause-analysis-and-the-8d-corrective-action-process/

Code:

https://nitroflare.com/view/4C3C0971FB89A4A/root_cause_analysis_and_the_8d_corrective_action_process.part1.rar
https://nitroflare.com/view/11220C02F0CA71E/root_cause_analysis_and_the_8d_corrective_action_process.part2.rar
https://nitroflare.com/view/E1778F2DD34B2F3/root_cause_analysis_and_the_8d_corrective_action_process.part3.rar
https://nitroflare.com/view/FEE6C84128C69AC/root_cause_analysis_and_the_8d_corrective_action_process.part4.rar
https://nitroflare.com/view/19A046EFBCA6DDA/root_cause_analysis_and_the_8d_corrective_action_process.part5.rar
https://nitroflare.com/view/E248E4267A56B7A/root_cause_analysis_and_the_8d_corrective_action_process.part6.rar
https://nitroflare.com/view/EA071C28C4A74E8/root_cause_analysis_and_the_8d_corrective_action_process.part7.rar
https://nitroflare.com/view/47004D6BA536F9A/root_cause_analysis_and_the_8d_corrective_action_process.part8.rar

Code:

https://rapidgator.net/file/176fddb714208030cf5eb20fec20e7dd/root_cause_analysis_and_the_8d_corrective_action_process.part1.rar.html
https://rapidgator.net/file/fda021e7095b308a3332930a92024403/root_cause_analysis_and_the_8d_corrective_action_process.part2.rar.html
https://rapidgator.net/file/3cb4089f7eb480a2f297fb39b9a2df90/root_cause_analysis_and_the_8d_corrective_action_process.part3.rar.html
https://rapidgator.net/file/3226e56b2cafc0ed8d8a9516a314ae51/root_cause_analysis_and_the_8d_corrective_action_process.part4.rar.html
https://rapidgator.net/file/0410140c2f5011f728ba332327ce103a/root_cause_analysis_and_the_8d_corrective_action_process.part5.rar.html
https://rapidgator.net/file/8e20c3f7fc9b046573ee558eb3753c8d/root_cause_analysis_and_the_8d_corrective_action_process.part6.rar.html
https://rapidgator.net/file/d6e1601bf8be9e06dcc6e041910368da/root_cause_analysis_and_the_8d_corrective_action_process.part7.rar.html
https://rapidgator.net/file/5cd28f7afc0c09748c93dfe542961568/root_cause_analysis_and_the_8d_corrective_action_process.part8.rar.html

[Slon]

Aptitude for Placements 2020: Quantitative Aptitude Tricks
Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: aac, 44100 Hz
Language: English | Size: 6.94 GB | Duration: 17h 44m



What you'll learn
Amazing Aptitude Tricks
Regular updates with latest patterns
Recommended for Placement Papers, CCAT and other Aptitude Backed Exams
Regular updates with latest patterns
Requirements
If you are preparing for Aptitude Exams, this is a treat!

Description
Master your Quantitative Aptitude for Placements, CCAT, GATE General Aptitude and Other Aptitude Backed Exams.

The course is divided as:

1. Concept Videos: Those who want to clear basic concepts can watch these videos, other-wise can directly go to questions and answer videos.

2. Questions and Answers Videos with Tricks: This contains direct video solutions of given questions with tricks and alternate methods.

3. Practice PDFs.: Practice PDFs are given at the end of the particular topic.

3. Mock Placement Questions: Mixed Questions sets are given in the last section - Very Important and Useful!.

The course mainly focuses on Quantitative Aptitude required for cracking Placement Papers of various IT and Core Companies, Job Aptitude Tests like CCAT, GATE General Aptitude and other Aptitude Backed Exams. Questions from all important topics are solved with smarter ways!,

With the wide experience in training for Placement Papers, Dr. Kiran Derle has emphasized on important on relevant topics. Variety of questions are solved with tricks and shortcuts along with traditional methods in some cases.

This is very much useful course designed with systematic way to get the best results.


Who this course is for:
Anyone with willingness to learn aptitude with strong committment


Homepage

Code:

https://anonymz.com/?https://www.udemy.com/course/quant_aptitud_tricks_and_shortcuts/

Code:

https://nitroflare.com/view/7ED4A5585FF4766/quant_aptitud_tricks_and_shortcuts.part1.rar
https://nitroflare.com/view/CA8B007E76FD915/quant_aptitud_tricks_and_shortcuts.part2.rar
https://nitroflare.com/view/B93720FE8829FBB/quant_aptitud_tricks_and_shortcuts.part3.rar
https://nitroflare.com/view/20C83F510CC2688/quant_aptitud_tricks_and_shortcuts.part4.rar
https://nitroflare.com/view/E1310C842DA4010/quant_aptitud_tricks_and_shortcuts.part5.rar
https://nitroflare.com/view/7FD934EA9AF8230/quant_aptitud_tricks_and_shortcuts.part6.rar
https://nitroflare.com/view/78F74DAEF6FD347/quant_aptitud_tricks_and_shortcuts.part7.rar

Code:

https://rapidgator.net/file/660a756687fd887acdee9539c595713a/quant_aptitud_tricks_and_shortcuts.part1.rar.html
https://rapidgator.net/file/13de66e2297536e72213131f8149a358/quant_aptitud_tricks_and_shortcuts.part2.rar.html
https://rapidgator.net/file/b4fa8791fd89d04eb1342bccda105145/quant_aptitud_tricks_and_shortcuts.part3.rar.html
https://rapidgator.net/file/a7f8fa9a102f7709f6dd6e75a8277540/quant_aptitud_tricks_and_shortcuts.part4.rar.html
https://rapidgator.net/file/7c5f8a259b521d090fb0e2712c26173c/quant_aptitud_tricks_and_shortcuts.part5.rar.html
https://rapidgator.net/file/238dab2c2d62ae1e9b4dcd866319df20/quant_aptitud_tricks_and_shortcuts.part6.rar.html
https://rapidgator.net/file/1b589852360cc8d14601de4558dfdea7/quant_aptitud_tricks_and_shortcuts.part7.rar.html

[Slon]

Migra de Visual Basic. Net a C# en poco tiempo
Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: aac, 44100 Hz
Language: Spanish | VTT | Size: 9.34 GB | Duration: 16h 29m



What you'll learn
Migrar de visual basic. net a C# rapidamente
Requirements
Conocimientos de Visual Basic. Net

Description
Se creo este curso para todas las personas que programan en Visual Basic. Net que desean migrar a C#,

de forma rapida y en poco tiempo.

Con este curso lograras migrar a C# con ejercicios aplicados en Vb. Net y pasandolos a C#

Los temas a ver durante la migracion a C# son:

Variables en Vb. Net y C#

Bucles en Vb. Net y C#

Pasar datos entre forms en Vb. Net y C#

Inicializar proyectos en Vb. Net y C#

Llamar Forms en Vb. Net y C#

3 capas en Vb. Net y C#

Conexión a SQLServer en Vb. Net y C#

Crud en Vb. Net y C#

Operadores logicos en Vb. Net y C#


Who this course is for:
Desarrolladores en general


Homepage

Code:

https://anonymz.com/?https://www.udemy.com/course/migrar-a-c-en-poco-tiempo/

Code:

https://nitroflare.com/view/FA0EA994D6DFA6C/migrar_a_c_en_poco_tiempo.part01.rar
https://nitroflare.com/view/4E46398AB9336F9/migrar_a_c_en_poco_tiempo.part02.rar
https://nitroflare.com/view/789CAE24C8823A6/migrar_a_c_en_poco_tiempo.part03.rar
https://nitroflare.com/view/B2E81FC7447FF4E/migrar_a_c_en_poco_tiempo.part04.rar
https://nitroflare.com/view/D125508437D0743/migrar_a_c_en_poco_tiempo.part05.rar
https://nitroflare.com/view/436567FC5D36E44/migrar_a_c_en_poco_tiempo.part06.rar
https://nitroflare.com/view/1DECEBE06AEDF3C/migrar_a_c_en_poco_tiempo.part07.rar
https://nitroflare.com/view/F2ADA73EA07CDC3/migrar_a_c_en_poco_tiempo.part08.rar
https://nitroflare.com/view/1A836565CB5E0CE/migrar_a_c_en_poco_tiempo.part09.rar

Code:

https://rapidgator.net/file/ec1dad44ca484c8e5d7545c1dfc331cb/migrar_a_c_en_poco_tiempo.part01.rar.html
https://rapidgator.net/file/cf9c5978a6a5a595a8ea30a3ac90d68f/migrar_a_c_en_poco_tiempo.part02.rar.html
https://rapidgator.net/file/0119c64d89c5d85743f3590a52cc19cb/migrar_a_c_en_poco_tiempo.part03.rar.html
https://rapidgator.net/file/d49a6033fba460030d60ababc0de2dfe/migrar_a_c_en_poco_tiempo.part04.rar.html
https://rapidgator.net/file/03d2efe57891b2d16ffb57a5ac665bdf/migrar_a_c_en_poco_tiempo.part05.rar.html
https://rapidgator.net/file/ffe0f91d73a3c12e566ed1e8b6c89a64/migrar_a_c_en_poco_tiempo.part06.rar.html
https://rapidgator.net/file/752501837bdaa1351466c1c64834b790/migrar_a_c_en_poco_tiempo.part07.rar.html
https://rapidgator.net/file/28384e013329fe82b24b3af70194c4cd/migrar_a_c_en_poco_tiempo.part08.rar.html
https://rapidgator.net/file/09d7e7d36906b1d5e9a6f941d95c38a7/migrar_a_c_en_poco_tiempo.part09.rar.html

[Slon]

2020 Linux for Beginners
Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: aac, 48000 Hz
Language: English | SRT | Size: 5.03 GB | Duration: 5h 41m



What you'll learn
Linux Command Line
Linux Bash Shell
Create and manage new directories and files
Getting information about hardware and software of the Linux computer
Create new users and change user passwords
Searching for files and folders using Find command
Compressing and sorting in Linux
Files and directories permissions and modification of the permissions
Creating and executing executable files
Networking in Linux
Environment variables access and creation of the new environment variables
Access of the remote Linux computer via SSH

Requirements
Just basic Computer knowledge
Desire to learn core Linux features
Get familiar with Linux Shells like Bash and Sh

Description
This course is all about Linux and Linux Shell.

Understand HOW Linux works and learn mostly used core Linux features from basic commands till creation of the Linux scripts.

And all features we will use ONLY in Shell, without any GUIs.

If you want to learn how to manage users, manage and search files and directories, set correct permissions, compress and uncompress archives, verify network connectivity and connect to remote servers via SSH - this course is for you.

Become a master of the Linux Shells like Bash or Sh.

This is practical Linux course that includes tons of practical activities. The best way to learn is learn by doing. You can have zero knowledge about Linux. All will be taught from scratch, from basic to advanced features. If you want to get deep practical knowledge of Linux this course is for you!

We will start by installing Docker and creating Linux container. You are right! We will use Docker because using Docker you could create any Linux computer in a matter of seconds on any platform - MacOS, Windows or other Linux computer.

In practice sections you will perform multiple practice Linux activities:

Create new directories and files in the Shell using commands mkdir, touch and cat

Manage users using adduser, useradd and passwd commands, login under different users

Change permissions of the files and directories using chmod command

Create and execute executable scripts from the Shell

Compress and uncompress files and directories using gzip and tar utilities

Verify network settings and connectivity with remote servers using such commands as ifconfig, nslookup, ping and traceroute

Downloading files from the remote servers using curl and wget

Connection to remote servers via SSH

To summarise, you will learn following core blocks of the Linux systems:

- Linux networking

- Permissions

- Scripting

- Creation and deletion of the files and directories

- Movement and renaming of the files and directories

With this course you will get lifetime-long access to more than 50 lectures and tens of practical exercises. After the course you will become a guru of Linux Shell and will be able easily perform basic and advanced Linux operations.

You will also get 30-days money-back guarantee. No questions asked!

Don't wait and join the course now!


Who this course is for:
Software developers
Network engineers
DevOps engineers


Homepage

Code:

https://anonymz.com/?https://www.udemy.com/course/linux-complete/

Code:

https://nitroflare.com/view/835AD5E1DCB8385/linux_complete.part1.rar
https://nitroflare.com/view/AB4E7B2A8C2118B/linux_complete.part2.rar
https://nitroflare.com/view/D4D41DFA42D438F/linux_complete.part3.rar
https://nitroflare.com/view/A444A240642CEDE/linux_complete.part4.rar
https://nitroflare.com/view/524F2F28BEDFC40/linux_complete.part5.rar
https://nitroflare.com/view/44F8F3909B6B6B8/linux_complete.part6.rar

Code:

https://rapidgator.net/file/976cac48e781b641f6e1414b5305465b/linux_complete.part1.rar.html
https://rapidgator.net/file/36f708159f82c22e2ae6676fff3f58e8/linux_complete.part2.rar.html
https://rapidgator.net/file/fb6a4b38141415a4fe56d75a271e843f/linux_complete.part3.rar.html
https://rapidgator.net/file/1f0fef49b74640d144d57d4bac64cbab/linux_complete.part4.rar.html
https://rapidgator.net/file/a854bafab595c80a4b3954abe706ad40/linux_complete.part5.rar.html
https://rapidgator.net/file/466913f21f6e45016e5628245b8c8c17/linux_complete.part6.rar.html

[Slon]

Lua Scripting: Master complete Lua Programming from scratch
Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: aac, 48000 Hz
Language: English | SRT | Size: 9.09 GB | Duration: 13h 38m



What you'll learn
Lua Scripting
Integrate Lua with C and C++

Requirements
Students should know how to work with files, use a text editor, copy and paste files, etc.
Knowledge of the Linux or Windows command-line will help students to make the most of this course

Description
Olá... and welcome to our complete Lua scripting course.

This course will teach you everything you need to know about the Lua scripting language.

We will start from scratch, installing Lua in your platform (Windows, macOS, or Linux), and progress to learn the main aspects of the Lua language. I will use Linux during the videos, but you can easily follow along with any other OS. If by any chance you cannot or do not want to install Lua in your machine, you can simply use the Replit website which allows you to run your Lua scripts inside your web browser.

This course is divided into three main parts:

The first part is where we will cover the basics of the Lua language. We will learn the fundamentals of programming with Lua using variables, expressions, conditional statements, loops, functions, metatables, and other important commands and modules from the Lua language. This part covers Lua from the beginning to an advanced level, and it is a super course even if you never programmed before.

The second part of the course is aimed at programmers that want to learn how to embed Lua within the C programming language. You'll learn how to embed and expose scripting capabilities to your C code and create a project that controls the movement of a player in C using Lua. If you don't want or don't care about integrating Lua with C, you are welcome to skip this section of the course, but this integration with C is one of the most powerful aspects of the Lua language and it is extremely important for professional programmers that want to take their Lua skills beyond the basics.

The third part of the course is a set of short bonus lectures that cover the basics of using Lua with Roblox Studio. Roblox is a popular game engine that uses Lua to script game logic and aspects of the game scene. We will learn how to use everything we learned to understand how Lua is used by Roblox and also understand the basics of the Roblox Studio interface.

This course is a super complete package about one of the world's favorite scripting languages. You will benefit from it if you are a beginner or if you are a seasoned developer that wants to discover the power of the Lua language.

Be aware: This is not a complete course on Roblox. The main focus of this course is the Lua programming language, and the final bonus lectures are a basic overview on how Lua is used by Roblox developers.

Welcome aboard!


Who this course is for:
Beginner that want to learn how to code with Lua
Professional programmers that want to learn how to embed and use Lua with their C applications
Students that want to learn how Lua is used with Roblox Studio


Homepage

Code:

https://anonymz.com/?https://www.udemy.com/course/learn-lua-scripting-roblox/

Code:

https://nitroflare.com/view/5DE536A25DBDDEF/learn_lua_scripting_roblox.part01.rar
https://nitroflare.com/view/FE5F41357536FEC/learn_lua_scripting_roblox.part02.rar
https://nitroflare.com/view/E25019A57C4D302/learn_lua_scripting_roblox.part03.rar
https://nitroflare.com/view/BA49E67BA1A146C/learn_lua_scripting_roblox.part04.rar
https://nitroflare.com/view/380A7EE07C437C1/learn_lua_scripting_roblox.part05.rar
https://nitroflare.com/view/E66979DB504A2E7/learn_lua_scripting_roblox.part06.rar
https://nitroflare.com/view/DB87C928BE55499/learn_lua_scripting_roblox.part07.rar
https://nitroflare.com/view/C7A4D5654871CB6/learn_lua_scripting_roblox.part08.rar
https://nitroflare.com/view/785FF3A587E08E9/learn_lua_scripting_roblox.part09.rar
https://nitroflare.com/view/769FA01D77AE583/learn_lua_scripting_roblox.part10.rar

Code:

https://rapidgator.net/file/f82b20810dad8c333118d8f453602fa3/learn_lua_scripting_roblox.part01.rar.html
https://rapidgator.net/file/31c15f0cf3dfe7cf1768ff3154379c29/learn_lua_scripting_roblox.part02.rar.html
https://rapidgator.net/file/73e28e56e07fe00ef7c2c917bf377e73/learn_lua_scripting_roblox.part03.rar.html
https://rapidgator.net/file/752cfe192f26f75cc8ac80f516cd7b60/learn_lua_scripting_roblox.part04.rar.html
https://rapidgator.net/file/34c63aec28a22c019daf6c0ab8e0a019/learn_lua_scripting_roblox.part05.rar.html
https://rapidgator.net/file/6a0b8bf775ca5fe40c04fa70e028fc55/learn_lua_scripting_roblox.part06.rar.html
https://rapidgator.net/file/30d562b901de95c2dc8e4aa8226f4261/learn_lua_scripting_roblox.part07.rar.html
https://rapidgator.net/file/ecb173a63c533c8250c37022c3ce28ed/learn_lua_scripting_roblox.part08.rar.html
https://rapidgator.net/file/c5aab14c36db16d88562007a68a4979a/learn_lua_scripting_roblox.part09.rar.html
https://rapidgator.net/file/64a561206be2504a6b6e3462c618a4ef/learn_lua_scripting_roblox.part10.rar.html

[Slon]

Full Oracle Database Administration with RAC
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + .srt | Duration: 136 lectures (20h 30m) | Size: 10.6 GB

Learn Oracle Database Administration, 12C R2 RAC Administration, Oracle Backup and Recovery concepts in this course

What you'll learn:
We prepared this course of Oracle Database which includes not only database administration but also RAC (Real Application Clusters). While preparing the course, we first covered the basic issues of database management. Then you will find a detailed explanation of Backup and Recovery concepts in Oracle as a part of database administration.
You would be able to install the necessary Oracle Software/Database
Creating and Starting Oracle Database
Creating A New Database User
Database Concepts And Fundamentals
Creating Tables
Inserting, Updating and Deleting Data In The Table
Retrieving Data From Table
Retrieving Data From Table
Filtering Result Set
Using Ampersand Subtition To Make More Dynamic Queries
Single Row Functions
Reporting Aggregated Data
Table Joins
Using Subqueries
Exists And Not Exists
Using Set Operators
What is Real Application Cluster?
Install Grid Infrastructure, Database Software and Create database
Administer Database Instances and Cluster Databases
To convert RAC database to RAC One Node and administer it
Design and Deployment Techniques
Backup and recovery concepts in Oracle
Setting up the laboratory environment
Creating and managing recovery catalog
Using flashback Technologies in Oracle
Data Guard Administration for Oracle 12C R2
Switchover and Failover Operations on Physical Standby Database via both SQLPlus and Data Guard Broker
Configuring Primary and Standby Databases for far sync Instance

Requirements
At least 12 GB memory, 120 GB of free disk space and internet connection
Basic Computer Use Knowledge with (Win7/8/10)
Desire to learn Oracle Database
Nothing else! It's just you, your computer and your ambition to get started today
LIFETIME ACCESS, course updates, new content, anytime, anywhere, on any device


Description
Hello there,

Welcome to the Full Oracle Database Administration with RAC course.

We prepared this course of Oracle Database which includes not only database administration but also RAC (Real Application Clusters). While preparing the course, we first covered the basic issues of database management. Then you will find a detailed explanation of Backup and Recovery concepts in Oracle as a part of database administration.

Backup and recovery is a life-saving topic for DBAs so we tried to explain this topic as detailed as possible. Finally, you will see the administration of the RAC database system. You can run two or more servers on a database as if one server by using RAC. You will set up a two-node cluster database during the course. Then you will see many hands-on practices to administer the RAC environment.

In this course, you will learn everything with hands-on practices. I'll also teach you the best practices and shortcuts. All my students will have a chance to learn not only the whats but also learn the whys and hows.

One of the things you will learn in this course Recovery Manager (RMAN) is an Oracle Database client that performs backup and recovery tasks on your databases and automates the administration of your backup strategies. It greatly simplifies backing up, restoring, and recovering database files.

RMAN also reduces the administration work associated with your backup strategy. RMAN keeps an extensive record of metadata about backups, archived logs, and its own activities, known as the RMAN repository. In restore operations, RMAN can use this information to eliminate the need for you to identify backup files for use in restores in most situations. You can also generate reports of backup activity using the information in the repository.

Fresh Content

Oracle is a unique technology that provides high availability and scalability for all application types. It prevents the server from being a single point of failure. But DBAs also should aware of the recent development and it's no secret how technology is advancing at a rapid rate. New tools are released every day, Oracle updates its system, and it's crucial to stay on top of the latest knowledge. With this course, you will always have a chance to follow the latest trends.

In this course you will learn;

Downloading Oracle Software,

Database and RDBMS Concepts,

DML ( Data Manipulating Language ) and TCL ( Transaction Control Language ),

Retrieving Data,

Restricting And Sorting Data,

Using Single-Row Functions and Customize Output,

Using Conversion Functions and Conditional Expressions,

Reporting Aggregated Data Using The Group Functions,

Defining Table Joins and Displaying Data from Multiple Tables,

Using Subqueries,

Using The Set Operators,

Schema Objects And Managing Schema,

Controlling User Access,

Manipulating Large Data Sets

What is RAC ( Real Application Cluster )

Installing Oracle Virtualbox

Setting Up Oracle Enterprise Linux

Installing Oracle Software

Oracle RAC

Creating Virtual Machines

Installing Oracle RAC Database to VMs

Installing Grid Infrastructure, Database Software, and Creating Database

Administer Database Instances and Cluster Databases

Oracle RAC One Node

How to Convert RAC Database to RAC One Node

Workload Management

Monitoring Performance

Design and Deployment Techniques

Cloning Oracle RAC

Managing backup, and restoring cluster database

Add and Delete Node From Cluster

Backup and recovery concepts in Oracle

Setting up the laboratory environment

Creating and managing the recovery catalog

Using flashback Technologies in Oracle

Backing up the database

Reporting on RMAN operations.

Managing RMAN backups

Using Data Recovery Advisor of Oracle

Restoring and recovering database and database objects.

The point-in-time recovery concept in Oracle will be crystal clear for you.

Managing Physical Standby Database

Basic usage of Data Guard Broker Utility

Creating and managing snapshot databases

Switchover and failover operations on physical standby database via both SQLPlus and Data Guard Broker

Creating Far Sync Instance

Configuring primary and standby databases for far sync instance

Creating Logical Standby database

Managing Logical Standby database

Switchover and failover operations on logical standby database via both SQLPlus and Data Guard Broker

Why would you want to take this course?

Our answer is simple: The quality of teaching.

When you enroll, you will feel the OAK Academy`s seasoned developers' expertise.

No Previous Knowledge is needed!

This course will take you from a beginner to a more experienced level.

If you are new to Oracle Database or have no idea about what a DBA does no problem, you will learn anything you need to start Oracle Database.

If you are a DBA or familiar with the Oracle Database / Oracle SQL and you just need a refresher, you are also in the right place. You will learn step by step with hands-on examples.

Video and Audio Production Quality

All our content is created/produced as high-quality video/audio to provide you the best learning experience.

You will be,

Seeing clearly

Hearing clearly

Moving through the course without distractions

You'll also get:

Lifetime Access to The Course

Fast & Friendly Support in the Q&A section

Udemy Certificate of Completion Ready for Download

Dive in now!

We offer full support, answering any questions.

See you in the course!

Who this course is for
Anyone who wants to become an Oracle DBA
Anyone who plans a career in Oracle Data Administration
Software developers whom want to increase SQL knowledge
Anyone who are studying Oracle 1Z0-071 Exams
Anyone who are junior Oracle DBA's
Anyone who are manage RDBMS and want to immigrate Oracle

Homepage

Code:

http://anonymz.com/?https://www.udemy.com/course/full-oracle-database-administration-with-rac/

Code:

https://nitroflare.com/view/BD6A052BF112D2E/Full_Oracle_Database_Administration_with_RAC.part01.rar
https://nitroflare.com/view/5DDA2373241A270/Full_Oracle_Database_Administration_with_RAC.part02.rar
https://nitroflare.com/view/48FF8633BB2C196/Full_Oracle_Database_Administration_with_RAC.part03.rar
https://nitroflare.com/view/7DC7D5DA1F87A82/Full_Oracle_Database_Administration_with_RAC.part04.rar
https://nitroflare.com/view/C6569B58146DE24/Full_Oracle_Database_Administration_with_RAC.part05.rar
https://nitroflare.com/view/9B2A338C36CB6FA/Full_Oracle_Database_Administration_with_RAC.part06.rar
https://nitroflare.com/view/71C26F39B9F346F/Full_Oracle_Database_Administration_with_RAC.part07.rar
https://nitroflare.com/view/91D57E974A37CCF/Full_Oracle_Database_Administration_with_RAC.part08.rar
https://nitroflare.com/view/2D58E9EA0CDB870/Full_Oracle_Database_Administration_with_RAC.part09.rar
https://nitroflare.com/view/EAD27A38287D38A/Full_Oracle_Database_Administration_with_RAC.part10.rar
https://nitroflare.com/view/EABAA205338D553/Full_Oracle_Database_Administration_with_RAC.part11.rar
https://nitroflare.com/view/A8A9748EBFCAD81/Full_Oracle_Database_Administration_with_RAC.part12.rar

Code:

https://rapidgator.net/file/09a480773d8826682d0ebec65faf7568/Full_Oracle_Database_Administration_with_RAC.part01.rar.html
https://rapidgator.net/file/5b57b43fcaf14d2ba1a1ff5f3a7c0d71/Full_Oracle_Database_Administration_with_RAC.part02.rar.html
https://rapidgator.net/file/8a72683c191077f36f9a6db5a09b518c/Full_Oracle_Database_Administration_with_RAC.part03.rar.html
https://rapidgator.net/file/e0b485d73ec7d9dd34d24db8dc193a0f/Full_Oracle_Database_Administration_with_RAC.part04.rar.html
https://rapidgator.net/file/843c24eca38c5c47bd341d7595e653a7/Full_Oracle_Database_Administration_with_RAC.part05.rar.html
https://rapidgator.net/file/7f4608b25ea8c8b9a2babd3b7a7f120b/Full_Oracle_Database_Administration_with_RAC.part06.rar.html
https://rapidgator.net/file/53ea111dc6fcd1749210888f623a69a6/Full_Oracle_Database_Administration_with_RAC.part07.rar.html
https://rapidgator.net/file/c3d85f3e83bb2852322297ff08708813/Full_Oracle_Database_Administration_with_RAC.part08.rar.html
https://rapidgator.net/file/5301ab4c1ed90c77b3b57b78182d384e/Full_Oracle_Database_Administration_with_RAC.part09.rar.html
https://rapidgator.net/file/f46a6293821153808007da616c62a1fe/Full_Oracle_Database_Administration_with_RAC.part10.rar.html
https://rapidgator.net/file/0da700d26208ba5be955889828c5c0f5/Full_Oracle_Database_Administration_with_RAC.part11.rar.html
https://rapidgator.net/file/bf3b2468f2c523d99dbaa2204512604b/Full_Oracle_Database_Administration_with_RAC.part12.rar.html

[Slon]

Complete Python for Anyone (4 courses in 1)
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + .srt | Duration: 45 lectures (9h 27m) | Size: 7.98 GB

Python for Everyone

What you'll learn:
Python
Beginner Python
Why we Program
Variable and Expressions
Conditional Code
Functions
Loops and Iteration
Strings
Data Structures for Python
Files
Lists
Using Python to Access Web Data
Regular Expressions
Networks and Sockets
Programs that Surf the Web
Web Services and XML
JSON and the REST Architecture
Using Databases with Python
Object Oriented Python
Basic Structured Query Language
Data Models and Relational SQL
Many to Many Relationships in SQL
Using Databases
Relational Databases

Requirements
No prior knowledge


Description
This course will introduce fundamental programming concepts including dat a structures, networked application, program interfaces and databases, using the Python programming language. This course is taught in Python 3. Modules will include getting started with python (programming for everyone), python data structures, using Python to access web data and using databases with Python. You do not need to have prior knowledge of any programming to take this course.

Who this course is for
Beginner to intermediate Python

Homepage

Code:

http://anonymz.com/?https://www.udemy.com/course/complete-python-for-anyone-4-courses-in-1/

Code:

https://nitroflare.com/view/31307BF96A96998/Complete_Python_for_Anyone_(4_courses_in_1).part01.rar
https://nitroflare.com/view/5F905F998AC5FA3/Complete_Python_for_Anyone_(4_courses_in_1).part02.rar
https://nitroflare.com/view/C2F010B2B34F9BD/Complete_Python_for_Anyone_(4_courses_in_1).part03.rar
https://nitroflare.com/view/2B32E4D9C56DF97/Complete_Python_for_Anyone_(4_courses_in_1).part04.rar
https://nitroflare.com/view/4F723E1187CCF7C/Complete_Python_for_Anyone_(4_courses_in_1).part05.rar
https://nitroflare.com/view/A6F8D1FFA29643E/Complete_Python_for_Anyone_(4_courses_in_1).part06.rar
https://nitroflare.com/view/C720B680CBBBD60/Complete_Python_for_Anyone_(4_courses_in_1).part07.rar
https://nitroflare.com/view/72A225D804E97FC/Complete_Python_for_Anyone_(4_courses_in_1).part08.rar
https://nitroflare.com/view/6F6C61F8C414D4F/Complete_Python_for_Anyone_(4_courses_in_1).part09.rar

Code:

https://rapidgator.net/file/1ec4d75367fbc25ee317ba8c63c96972/Complete_Python_for_Anyone_(4_courses_in_1).part01.rar.html
https://rapidgator.net/file/316006b10bfe29e7293bb3848dcf7568/Complete_Python_for_Anyone_(4_courses_in_1).part02.rar.html
https://rapidgator.net/file/9ba0e74062541d6d4a28cf6eeed0936a/Complete_Python_for_Anyone_(4_courses_in_1).part03.rar.html
https://rapidgator.net/file/1b9543327e704dbd24c754258ef03d0a/Complete_Python_for_Anyone_(4_courses_in_1).part04.rar.html
https://rapidgator.net/file/06e67ee39e5cb3bff4d734b94124f5a4/Complete_Python_for_Anyone_(4_courses_in_1).part05.rar.html
https://rapidgator.net/file/f515a5cf89c6371dd69d5ddbe07789ae/Complete_Python_for_Anyone_(4_courses_in_1).part06.rar.html
https://rapidgator.net/file/356eaa0dd6e3073af85150014ea6e6a9/Complete_Python_for_Anyone_(4_courses_in_1).part07.rar.html
https://rapidgator.net/file/7143b32e5d2be2444568fb2f0892e573/Complete_Python_for_Anyone_(4_courses_in_1).part08.rar.html
https://rapidgator.net/file/4dfb0d79d0e24cfdda6e8289b5fd4404/Complete_Python_for_Anyone_(4_courses_in_1).part09.rar.html

[Slon]

A Complete Natural Language Processing Beginner Masterclass™
Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: aac, 44100 Hz
Language: English | SRT | Size: 5.55 GB | Duration: 11h 25m



What you'll learn
Sentiment Analysis on Steam Video Game reviews.
Make your own product recommendation system.
Google Colab Cloud-Based Notebooks for using Python: to be up-to-date with what's being used in the Data Science world 2020!
Convert Speech To Text
Create a Fake News Detector with Deep Learning
Make Classifiers for Text Analysis.
Get comfortable using Python for NLP applications
Machine Learning for Language Applications
A good foundation in Linguistics to help learn NLP concepts.
Machine Learning Modelling Techniques
Deep Learning: Neural Networks, RNN, LSTM
Perform Speech Recognition
Create Chatbots

Requirements
No previous programming knowledge necessary. The lectures slowly explain the python syntax as you code alone with me.
New to Python: you get explanations of the code as you code along with me but not only that - theory slides explain concepts to help you understand what's going on behind the code.
No data science knowledge required: lectures teach how to work with data and key modelling concepts.
No NLP knowledge required. Linguistic concepts are taught to give a strong foundation of NLP even before you get into practical coding. This helps you to grasp NLP modelling techniques and cleaning concepts better.

Description
This course takes you from a beginner level to being able to understand NLP concepts, linguistic theory, and then practice these basic theories using Python - with very simple examples as you code along with me.

If you are new to Python or any computer programming, the course instructions make it easy for you to code together with me. I explain code line by line.

The gentle pace takes you gradually from these basics of NLP foundation to being able to understand Mathematical & Linguistic (English-Language based, Non-Mathematical) theories of Deep Learning.

Natural Language Processing Foundation

Linguistics & Semantics - study the background theory on natural language to better understand the Computer Science applications

Pre-processing Data (cleaning)

Regex, Tokenization, Stemming, Lemmatization

Part-of-Speech Tagging

The topics outlined below are taught using practical Python projects!

Text Classification & Sentiment Analysis

Unsupervised Sentiment Analysis

Topic Modelling

Word Embedding with Deep Learning Models

LSTM using TensorFlow, Keras Sequence Model

Speech Recognition

Convert Speech to Text


Who this course is for:
Anyone who is curious about data science & NLP
Those who are in the Business & Marketing world - learn use NLP to gain insight into customers & products. Can help at interviews & job promotions.
If you intend to enrol in an NLP/Data Science course but are a total newbie, complete this course before to avoid being lost in class since it can seem overwhelming if classmates already have a foundation in Python or Datascience.


Homepage

Code:

https://anonymz.com/?https://www.udemy.com/course/a-complete-natural-language-processing-masterclass/

Code:

https://nitroflare.com/view/9B6E244BCC0013D/a_complete_natural_language_processing_masterclass.part1.rar
https://nitroflare.com/view/81A8A6AFCAEA79E/a_complete_natural_language_processing_masterclass.part2.rar
https://nitroflare.com/view/F030E97AAD7802C/a_complete_natural_language_processing_masterclass.part3.rar
https://nitroflare.com/view/93B3A940044BF95/a_complete_natural_language_processing_masterclass.part4.rar
https://nitroflare.com/view/36C58381B0257D9/a_complete_natural_language_processing_masterclass.part5.rar
https://nitroflare.com/view/33966BD2096B8BC/a_complete_natural_language_processing_masterclass.part6.rar

Code:

https://rapidgator.net/file/8ce2a685462439811fa63c9238277ca8/a_complete_natural_language_processing_masterclass.part1.rar.html
https://rapidgator.net/file/a9b2908955b57ea5488f6d14b5acce09/a_complete_natural_language_processing_masterclass.part2.rar.html
https://rapidgator.net/file/aa5455a63417dd13647da4fd8c5ad542/a_complete_natural_language_processing_masterclass.part3.rar.html
https://rapidgator.net/file/71dee5cab26ffdab6e63aa501b9e3a61/a_complete_natural_language_processing_masterclass.part4.rar.html
https://rapidgator.net/file/7e3b57750d7052c8f6d3086ca6bdc4ef/a_complete_natural_language_processing_masterclass.part5.rar.html
https://rapidgator.net/file/6cea200c42eebf3971915efaed6b1f75/a_complete_natural_language_processing_masterclass.part6.rar.html

[Slon]

The Analyst's toolkit with Power BI [2020]
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + .srt | Duration: 130 lectures (9h 15m) | Size: 6 GB

Learn how to build Dashboards and Exploratory reports

What you'll learn:
What is Power BI and how it is used to help other explore and analyse data.
How to load, clean and transform data.
How to Model data and create relationships between tables in a dataset.
How to creates visualisations of your data and tie them together with navigation and filters
What are the common report types and how they differ.

Requirements
Install Power BI desktop
No previous experience with Power BI is required.
Those with experience can expect to learn more about advanced techniques.


Description
Organisations have data everywhere and it is more important than ever to build skills that help summarize and communicate data to our co-workers, managers and others. In this course I will take you through the key skills you'll need to build actionable and exploratory reports.

You'll first need to take a look at how we deliver valuable reports to others by focusing on why people need them. We'll then jump right in to the Power BI desktop and build a report end-to-end from getting data, modelling data, getting visuals and writing our own expressions in DAX to amplify our look at our data.

So if you work with data and you need to build reports that are flexible, easy to configure, easy to refresh and help your organisation make better decisions then you're in the right place.

Who this course is for
People who need a tool that helps them explore large amounts of data.
Analysts who normally use excel but struggle crafting scalable dashboards with intuitive navigation
People who need a tool that helps collate many files of data together or connect two related sets of data.
People who want to build dashboards
People who want to build explorable reports.

Homepage

Code:

http://anonymz.com/?https://www.udemy.com/course/the-analysts-toolkit-with-power-bi-2020

Code:

https://nitroflare.com/view/3885662C0B374C1/The_Analyst's_toolkit_with_Power_BI_2020.part1.rar
https://nitroflare.com/view/33A103652805B70/The_Analyst's_toolkit_with_Power_BI_2020.part2.rar
https://nitroflare.com/view/433A6B0ED074581/The_Analyst's_toolkit_with_Power_BI_2020.part3.rar
https://nitroflare.com/view/6D4D2237E142DE7/The_Analyst's_toolkit_with_Power_BI_2020.part4.rar
https://nitroflare.com/view/CF3F11D9ABF8E56/The_Analyst's_toolkit_with_Power_BI_2020.part5.rar
https://nitroflare.com/view/E043C35FC4CFAEF/The_Analyst's_toolkit_with_Power_BI_2020.part6.rar

Code:

https://rapidgator.net/file/ea30c4477cb79830d5dda92f06df4516/The_Analyst's_toolkit_with_Power_BI_2020.part1.rar.html
https://rapidgator.net/file/dd69eda5c4c30061ff7119fa580571a1/The_Analyst's_toolkit_with_Power_BI_2020.part2.rar.html
https://rapidgator.net/file/ffae6ba1180252c56a3b3eff7e95330e/The_Analyst's_toolkit_with_Power_BI_2020.part3.rar.html
https://rapidgator.net/file/cbf086678df084704f25859e5be7c708/The_Analyst's_toolkit_with_Power_BI_2020.part4.rar.html
https://rapidgator.net/file/ced2c10899830ca4721077aa4ceeda79/The_Analyst's_toolkit_with_Power_BI_2020.part5.rar.html
https://rapidgator.net/file/f6b1f5f9457eb0a4074d9f49cbab062e/The_Analyst's_toolkit_with_Power_BI_2020.part6.rar.html