Machine Learning Experiments with DVC (Hands-On Tutorial!)
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: https://dvc.org/doc/start/experiments
🧑🏽💻 To learn more about our tools, take our free online course at https://learn.iterative.ai
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