Data Science Workflows with Version Control

Ravendracroma30 Dec, 2024Education

Data Science Workflows with Version Control involve managing and tracking changes in data science projects systematically to ensure collaboration, reproducibility, and organization. Version control tools like Git help data scientists track code changes, manage multiple branches for experimentation, and revert to previous states when needed.