Git for Model Management
Small changes in Jupyter notebooks can lead to significant apparent differences, complicating version control. Instead of managing notebooks directly in git, a more effective approach involves versioning the model code and its components, allowing for clearer diffs and rollbacks. This strategy enhances workflow for data professionals by integrating model management with git repositories, streamlining the interaction between notebooks and web applications.In this clip
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Super Data Science: ML & AI Podcast with Jon Krohn
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