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 third "Getting Started" feature from the official DVC docs about **pipelines**, a method to connect data, code and models for ultimate reproducibility. We'll explain how to:
- Create a DVC pipeline
- Modify existing pipeline stages
- Use pipelines to reproduce all the steps in a sample data science project
This is the third of 4 videos in the DVC Basics series, covering key approaches in GitOps and MLOps.
Docs: https://dvc.org/doc/start/data-management/data-pipelines
NOTE: dvc run has been replaced with the dvc stage add command. You can find all the info at the above linked docs
🧑🏽💻 To learn more about our tools, take our free online course at https://learn.iterative.ai
