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Turn the path into reviewable evidence with its scoped project milestones and explicit grading criteria.
Take a real dataset (e.g. a Kaggle CSV) and go from raw data to a first honest model in a notebook. Clean the data (justify drop-vs-impute for missing...
Build a properly validated supervised model and compare a few algorithms. Use a scikit-learn PIPELINE + ColumnTransformer so preprocessing is fit on...
Deliver a complete, communicated data-science project that answers a real question. Include: (1) clear problem framing (target, success metric,...