Managing Data Science Projects with Version Control
In the context of data science, tracking the evolution of a project is not simply a matter of convenience—it is essential. Data science projects often involve a complex interplay of scripts, data, models, visualizations, and documentation, all of which evolve. In such environments, the ability to track, manage, and recall specific versions of a project […]
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