Udemy - Docker Masterclass for Machine Learning and Data Science

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Docker Masterclass for Machine Learning and Data Science [TutsNode.com] - Docker Masterclass for Machine Learning and Data Science 1. Welcome
  • 1. Welcome!.mp4 (73.6 MB)
  • 1. Welcome!.srt (5.0 KB)
2. Introduction
  • 1. Study Tips For Success.html (1.5 KB)
  • 2. Your Shortcut To Becoming A Better Data Scientist.html (3.9 KB)
  • 3. What is Docker.mp4 (8.0 MB)
  • 3. What is Docker.srt (3.5 KB)
  • 4. What is a Container.mp4 (14.8 MB)
  • 4. What is a Container.srt (7.2 KB)
  • 5. Useful Docker Info.mp4 (23.6 MB)
  • 5. Useful Docker Info.srt (3.8 KB)
  • 6. Installing Docker.mp4 (25.4 MB)
  • 6. Installing Docker.srt (6.8 KB)
  • 7. Installing Docker for Linux.html (0.0 KB)
  • 8. How Docker Is Useful For Data Science.html (2.5 KB)
  • 9. Installing Anaconda.mp4 (14.5 MB)
  • 9. Installing Anaconda.srt (3.6 KB)
  • 10. Why Anaconda.html (2.6 KB)
  • 11. Virtual Environment.mp4 (16.3 MB)
  • 11. Virtual Environment.srt (5.9 KB)
  • 12. Downloadables.html (0.2 KB)
  • 12.1 Introduction Recap.pdf (114.6 KB)
3. Working With Docker - Basics
  • 1. Download The Files.html (0.3 KB)
  • 2. Set Up A Simple Flask App.mp4 (11.8 MB)
  • 2. Set Up A Simple Flask App.srt (4.7 KB)
  • 2.1 Test App Docker .zip (2.8 KB)
  • 3. Dockerfile.mp4 (18.7 MB)
  • 3. Dockerfile.srt (6.4 KB)
  • 4. Requirements.txt.mp4 (13.1 MB)
  • 4. Requirements.txt.srt (5.1 KB)
  • 5. Build A Docker Image and Container.mp4 (22.8 MB)
  • 5. Build A Docker Image and Container.srt (7.8 KB)
  • 6. What Ports To Use.html (2.2 KB)
  • 7. Common Docker Commands.mp4 (26.0 MB)
  • 7. Common Docker Commands.srt (9.5 KB)
  • 8. Docker Commands Cheatsheet.html (0.2 KB)
  • 9. Quiz.html (0.2 KB)
4. DockerHub
  • 1. Sign Up.mp4 (10.2 MB)
  • 1. Sign Up.srt (2.8 KB)
  • 2. Docker Hub Push Image.mp4 (23.6 MB)
  • 2. Docker Hub Push Image.srt (8.5 KB)
  • 3. Docker Hub Pull Image.mp4 (43.3 MB)
  • 3. Docker Hub Pull Image.srt (9.3 KB)
  • 4. Updating Image.mp4 (11.4 MB)
  • 4. Updating Image.srt (4.0 KB)
  • 5. Section Recap Notes.html (1.5 KB)
  • 5.1 Docker Hub Recap Notes.pdf (46.7 KB)
  • 6. Extra - Extending An Image.mp4 (24.5 MB)
  • 6. Extra - Extending An Image.srt (9.3 KB)
  • 7. Volumes.mp4 (9.4 MB)
  • 7. Volumes.srt (4.8 KB)
  • 8. Testing a Volume.mp4 (30.6 MB)
  • 8. Testing a Volume.srt (14.7 KB)
  • 9. Section Quiz.html (0.2 KB)
5. Challenge
  • 1. Challenge Intro.mp4 (10.4 MB)
  • 1. Challenge Intro.srt (3.7 KB)
  • 2. Solution Files.html (0.3 KB)
  • 3. Challenge Solution.mp4 (26.1 MB)
  • 3. Challenge Solution.srt (9.9 KB)
  • 3.1 Challenge App.zip (2.2 KB)
  • 4. Quick Notes!.html (0.7 KB)
6. Automated Builds
  • 1. Obtain The Files Here.html (0.3 KB)
  • 2. Git Tips & Tricks.html (1.6 KB)
  • 3. NGINX & Automation.mp4 (7.9 MB)
  • 3. NGINX & Automation.srt (2.3 KB)
  • 4. NGINX & Automation P1.mp4 (28.5 MB)
  • 4. NGINX & Automation P1.srt (6.9 KB)
  • 5. NGINX & Automation P2.mp4 (12.2 MB)
  • 5. NGINX & Automation P2.srt (6.3 KB)
  • 6. NGINX & Automation P3.mp4 (25.0 MB)
  • 6. NGINX & Automation P3.srt (7.6 KB)
  • 7. NGINX & Automation P4.mp4 (8.6 MB)
  • 7. NGINX & Automation P4.srt (2.8 KB)
  • 8. NGINX & Automation P5.mp4 (52.0 MB)
  • 8. NGINX & Automation P5.srt (14.4 KB)
  • 9. NGINX & Automation P6.mp4 (18.8 MB)
  • 9. NGINX & Automation P6.srt (6.2 KB)
7. File Challenge
  • 1. File Challenge Introduction & Github Classroom Link.html (0.9 KB)
  • 1.1 test file challenge copy.zip (46.2 KB)
  • 2. File Challenge Part One.mp4 (5.8 MB)
  • 2. File Challenge Part One.srt (4.3 KB)
  • 3. File Challenge Solution.mp4 (43.0 MB)
  • 3. File Challenge Solution.srt (13.0 KB)
  • 3.1 test file challenge.zip (28.8 KB)
8. Docker Compose
  • 1. Obtain The Docker Compose Resources Here.html (0.3 KB)
  • 1.1 awesome-compose-master.zip (3.9 MB)
  • 1.2 Compose.zip (1.2 KB)
  • 2. Docker Compose.mp4 (20.6 MB)
  • 2. Docker Compose.srt (5.1 KB)
  • 3. Docker Compose - Jupyter.mp4 (34.8 MB)
  • 3. Docker Compose - Jupyter.srt (10.5 KB)
  • 4. Docker Compose Challenge.mp4 (31.5 MB)
  • 4. Docker Compose Challenge.srt (6.4 KB)
  • 5. Docker Compose Challenge - Part 1.mp4 (31.7 MB)
  • 5. Docker Compose Challenge - Part 1.srt (9.1 KB)
  • 6. Docker Compose Challenge - Part 2.mp4 (22.2 MB)
  • 6. Docker Compose Challenge - Part 2.srt (5.0 KB)
  • 7. Compose Building Cheatsheet.html (3.7 KB)
  • 7.1 Docker Compose Commands.pdf (356.9 KB)
  • 8. Docker Extra - Simple Jupyter Command.mp4 (13.8 MB)
  • 8. Docker Extra - Simple Jupyter Command.srt (5.8 KB)
9. Docker Swarm
  • 1. Swarm Section Files.html (0.2 KB)
  • 1.1 example-voting-app-master.zip (276.9 KB)
  • 2. Swarm Intro.mp4 (36.2 MB)
  • 2. Swarm Intro.srt (7.1 KB)
  • 3. Swarm Deploy.mp4 (46.3 MB)
  • 3. Swarm Deploy.srt (8.5 KB)
  • 4. Swarm Tips.html (2.3 KB)
  • 4.1 Docker Swarm Tips.pdf (43.9 KB)
10. AWS
  • 1. AWS EC2 Setup Tips.html (0.5 KB)
  • 2. AWS Part One.mp4 (15.9 MB)
  • 2. AWS Part One.srt (4.2 KB)
  • 3. AWS Part Two.mp4 (30.9 MB)
  • 3. AWS Part Two.srt (8.3 KB)

Description


Description

Every data scientist is aware that, sometime or another, they’ll need to show off their progress and results. And there couldn’t be a bigger fear than not having your algorithm run on another computer for reasons you can’t define.

Enter Docker Masterclass for Machine Learning and Data Science. Led by Docker evangelist and Cybersecurity expert Jordan Sauchuk, this course is designed to get you up and running with Docker, so you will always be prepared to ship your content no matter the situation.

Your Docker path will cover the following steps:

A Comprehensive Introduction to Docker
Getting the Docker basics down
Using Dockerhub
Docker Challenges

Embedded in each section you’ll not only find great video lessons, but also enriching articles and quizzes designed to take you to Docker heaven!

So, are you ready to become an excellent data scientist? Enroll now!

See you in the classroom.
Who this course is for:

Anyone interested in advancing their careers and obtaining a skill that not only is highly relevant now, but will only continue to grow.

Requirements

The requirements for this course is simple. We will be using Docker desktop (available on Windows, Mac, Linux) and other Docker services that we will walk through the sign up process, or related information for. We will also be using Python, and any related libraries. You can use any IDE that you would like, but we will use Spyder as an example in the course when needing to write our code, and the terminal or shell/prompt.

Last Updated 12/2020



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Udemy - Docker Masterclass for Machine Learning and Data Science


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1.2 GB
seeders:25
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Udemy - Docker Masterclass for Machine Learning and Data Science


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