DVC: Data Version Control Tool for Your Machine Learning Projects

As a data scientist, it’s common to experiment with various combinations of code, data, and models. To ensure that past experiments can be reproduced, it’s crucial to version control all of these elements.

Git is a great tool for version controlling code, but it is not ideal for versioning data and models.

Wouldn’t it be nice if you could store your data on your favorite storage services such as Amazon S3, Google Drive, and Google Cloud Storage while still being able to version control your data? That is when DVC comes in handy.