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Get Started: Data Pipelines
Chapters
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Data pipelines - Use pipelines to describe how models and other data artifacts are built, and provide an efficient way to reproduce them. Think "Makefiles for data and ML projects" done right.
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Metrics, parameters, and plots - These are first class citizens in DVC pipelines. Capture, evaluate, and visualize ML projects without leaving Git.
The steps and results of some of these chapters are captured in our
example-get-started repo. Feel free to git clone/checkout any of its
tags.
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