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Data versioning in action

Data Version Control (DVC) provides a systematic approach to versioning data, a critical aspect often overlooked. With DVC, you can precisely track changes in your datasets, ensuring reproducibility, collaboration, and troubleshooting ease. It's your safeguard against data-related challenges, fostering trust and efficiency in your data-driven projects.

In this exercise, you will practice initializing a DVC project and versioning a dataset. Git has already been initialized for this project.

This exercise is part of the course

CI/CD for Machine Learning

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