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
Hands-on interactive exercise
Turn theory into action with one of our interactive exercises
