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Data Version Control

, DVC tracks ML models and data sets

@dvc

DVC is built to make ML models shareable and reproducible. It is designed to handle large files, data sets, machine learning models, and metrics as well as code.

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6 SCENARIOS

Basic Concepts

Basic concepts and features of DVC.

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6 SCENARIOS

Examples

Examples that illustrate DVC commands and other features.

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8 SCENARIOS

Get Started

A step-by-step introduction to DVC by building a simple NLP project from scratch.

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5 SCENARIOS

Tutorials

Basic DVC tutorials with simple ML scenarios.

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