Data Visualization

Data Versioning involves systematically tracking, storing, and managing multiple iterations of datasets used in machine learning projects. It ensures data integrity, reproducibility, and efficient collaboration by enabling teams to access specific dataset versions, compare changes over time, and revert to previous states if needed. This practice enhances model reliability and maintains rigorous data management standards within AI infrastructure.