[ FreeCourseWeb ] Udemy - Docker Masterclass for Machine Learning and Data Science

[ FreeCourseWeb.com ] Docker Masterclass for Machine Learning and Data Science

Download More Courses Visit and Support Us -->> https://FreeCourseWeb.com



Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: aac, 48000 Hz
Language: English | SRT | Size: 1.19 GB | Duration: 4h 1m
What you'll learn
Use Docker in order to build containers to deploy applications.
Learn the intuition behind Docker and understand how it works.
Learn the ins and outs of working with Docker
Understand how to create and deploy Docker containers from scratch.
You will also learn about Docker Images, Docker Hub, security with Docker, and much more so that you can implement Docker as needed

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.
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:

Use Winrar to Extract. And use a shorter path when extracting, such as C: drive

ALSO ANOTHER TIP: You Can Easily Navigate Using Winrar and Rename the Too Long File/ Folder Name if Needed While You Cannot in Default Windows Explorer. You are Welcome ! :)

Download More Courses Visit and Support Us -->> https://FreeCourseWeb.com

Get More Tutorials and Support Us -->> https://DevCourseWeb.com

We upload these learning materials for the people from all over the world, who have the talent and motivation to sharpen their skills/ knowledge but do not have the financial support to afford the materials. If you like this content and if you are truly in a position that you can actually buy the materials, then Please, we repeat, Please, Support Authors. They Deserve it! Because always remember, without "Them", you and we won't be here having this conversation. Think about it! Peace...