Day 10: Versioning Data with DVC

1. 1Install DVC using pip
2. 2Initialize a DVC project
3. 3Configure DVC to track data versions
4. 4Use DVC to version datasets
5. 5Integrate DVC with ML pipelines

Data scientists and ML engineers can benefit from versioning data to ensure reproducibility and collaboration

💡 Versioning data with DVC enables reproducibility and collaboration in ML projects

Version your data with DVC for reproducible #MLOps pipelines