DVC
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What is DVC?
DVC (Data Version Control) is an open-source tool designed to bring version control principles to machine learning projects, specifically for data and models. It extends Git's capabilities to handle large files, datasets, and machine learning models, which are typically not well-suited for traditional version control systems. DVC tracks changes to data and models, allowing you to reproduce experiments, revert to previous versions, and collaborate effectively on data-driven projects.
Free resources to learn DVC
- Official docsDVC
- Official docsGet Started with DVC
- ArticleThe Complete Guide to Data Version Control With DVC
- ArticleData and Machine Learning Model Versioning with DVC
- VideoVersioning Data with DVC (Hands-On Tutorial!)
More in stage 2: Version Control Systems
DVC: common questions
Can I learn DVC in Hindi?
This lesson is written in English. Once you sign in, open it in the interactive course and ask the AI tutor to explain DVC in Hindi or Hinglish. The tutor answers from this lesson’s own text, so it stays on the syllabus, and it runs on your own Google, OpenAI or Anthropic key.
Is this DVC tutorial for beginners?
It is lesson 18 of 62 in the free MLOps roadmap, in stage 2, Version Control Systems. If you are new to MLOps, start from stage 1 and come back here in order; if you already know the earlier stages, this lesson stands on its own.