Version control for data science explained in 5 minutes (no code!)

Version control for data science explained in 5 minutes (no code!)

HomeDVCorgVersion control for data science explained in 5 minutes (no code!)
Version control for data science explained in 5 minutes (no code!)
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In this code-free, five-minute tutorial for absolute beginners, we'll teach you Data Version Control (DVC), a tool for adapting Git version control to machine learning projects.

– Why data science and machine learning urgently need versioning tools
– Why version control with Git alone is not enough
– How DVC helps you use Git with large datasets and models
– Cool features in DVC, like metrics, pipelines and charts

Check out the DVC open source project on GitHub:
https://github.com/iterative/dvc

Follow DVC on Twitter! https://twitter.com/dvcorg

‍ To learn more about our tools, take our free online course at https://learn.iterative.ai.

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