DVC and Git For Data Science

Published 04/2022
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 53 lectures (8h 44m) | Size: 4.1 GB

Master the Basics of Git and Data Version Control (DVC) for Beginners

What you’ll learn
Learn Version Control and Why We Need it?
Understand the Need for Data Version Control
Git and Github For Data Science Project
Master DVC For Data Science Project
Explore DAGsHub
Build Your Own Custom Version Control Tool (Git) From Scratch

Requirements
Basic Understanding of Python and Machine Learning
Determination and Willingness to Learn

Description
Our modern world runs on software and data, with Git – a version control tool we track and manage the different changes and versions of our software. Git is very useful in every programmer’s work. It is a must-have tool for working in any software-related field, that includes data science to machine learning.

What about the data and the ML models we build? How do we track and manage them?

How do data scientist, machine learning engineers and AI developers track and manage the data and models they spend hours and days building?

In this course we will explore Git and DVC – two essential version control tools that every data scientist, ML engineer and AI developer needs when working on their data science project.

This is a very new field hence there are not a lot of materials on using git and dvc for data science projects. The goal of this exciting and unscripted course is to introduce you to Git and DVC for data science.

We will also explore Data Version control, how to track your models and your datasets using DVC and Git.

By the end of the course you will have a comprehensive overview of the fundamentals of Git and DVC and how to use these tools in managing and tracking your ML models and dataset for the entire machine learning project life cycle.

This course is unscripted,fun and exciting but at the same time we will dive deep into DVC and Git For Data Science.

Specifically you will learn

Git Essentials

How Git works

Git Branching for Data Science Project

Build our own custom Version Control Tools from scratch

Data Version Control – The What,Why and How

DVC Essentials

How to track and version your ML Models

DVC pipelines

How to use DAGsHub and GitHub

Label Studio

Best practices in using Git and DVC

Machine Learning Experiment Tracking

etc

Who this course is for
Anyone interested in Learning Git and DVC
Data Scientist curious about Data Version Control
Students

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