This tutorial is for total beginners to get started using DVC and Git to version data, models, and more. If you're completely new to DVC and want a gentle walkthrough of the basic features, this is for you!
We'll be mirroring the fourth "Getting Started" feature from the official DVC docs about **experiments**, a method to compare model metrics across Git commits, tags, and branches. We'll explain how to:
- Create DVC metrics in a pipeline
- Compare metrics across Git branches
- Visualize differences in metrics with DVC plots
This is the fourth of 4 videos in the DVC Basics series, covering key approaches in GitOps and MLOps.
Docs: [ Ссылка ]
🧑🏽💻 To learn more about our tools, take our free online course at [ Ссылка ]
Machine Learning Experiments with DVC (Hands-On Tutorial!)
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version control for data sciencemlops best practicesgithub actionsgithub actions tutorialdata sciencedevops for data sciencegit for data sciencedata version controlmachine learningdata version control dvcgithub actions for beginnersmlopsversion controldata science projectsgithubdevopsmlops tutorialdata science projectgithub universedvcdata scientistgitopsdata science pythongithub tutorialdata version control tutorial
