What I Do During A Data Science Project To Deliver Success
Read OriginalThis article details the author's personal practices for ensuring successful execution during a data science project. It covers conducting literature reviews to build on existing work, running quick experiments using tools like Jupyter notebooks, and maintaining team alignment through stand-ups and feedback. It is part two of a three-part series on data science project management.
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