What you would learn in DVC and Git For Data Science course?
The modern world operates on data and software, and with Git - the tool for version control, we monitor and manage the various versions and software changes. Git has proven to be highly beneficial to every programmer's work. It is an essential tool for any related field to software that includes everything from data science to machine learning.
What do we do with the data, and how do we manage the ML models we create? How can we monitor and manage these models?
How do data scientists, engineers, machine learning scientists, and AI developers keep track of and manage the models and data they've been developing?
In this course, we will examine Git and DVC, two crucial tools for controlling versions that every data scientist, ML engineer, and AI developer should have in the course of working on their data science projects.
It is a new area. Therefore, there aren't many resources about using git or DVC to work on projects in data science. The purpose of this fascinating and unscripted course is to provide you with Git and DVC in data science.
We will also look at Data Version control and how to manage your models and your data with DVC and Git.
At the end of the course, you'll be able to comprehend the basic concepts in Git and DVC and how you can use these tools to manage and monitor the progress of your ML models and datasets throughout the life-cycle of your machine learning project.
The course is fun, unscripted, and thrilling, but at the exact moment, we'll dig deep into DVC along with Git For Data Science.
In particular, you will be taught.
Git Essentials
How does Git operate
Git Branching to support Data Science Project
Create our customized version control tools from the ground up
The Data Version Control: The What and Why and How
DVC Essentials
How do you track and update your Models of ML
DVC pipelines
How do you utilize DAGsHub and GitHub
Label Studio
Best practices when making use of Git and DVC
Machine Learning Experiment Tracking
and so on.
Course Content:
- Learn about Version Control and the Reasons We Need it?
- Know the importance of data Version Control
- Git and Github For Data Science Project
- Master DVC For Data Science Project
- Explore DAGsHub
- Create Your Custom Version Control Tool (Git) From scratch
Download DVC and Git For Data Science from below links NOW!
