Tag: data versioning
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DVC Basics: Track Your First ML Dataset in 3 Commands
Track your ML dataset with 3 DVC commands: init, add, push. Real workflow examples, storage math, and the cache gotcha that surprises everyone.
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DVC vs MLflow: Data Versioning and Model Registry Compared
DVC tracks data pipelines with Git commits. MLflow logs experiments and serves models. Compare both with real codeโchoose the right tool.