Data Science MethodologyA
Apply a disciplined data science methodology — treating data science as a process, not a single tool or piece of code. Use this skill whenever the user asks for help with ANY data science task: EDA, data cleaning, feature engineering, model building, predictions, classification, forecasting, ML pipelines, or "doing data science on this dataset". Also use when the user mentions Python/pandas/scikit-learn/notebooks in a data-analysis context, talks about a dataset they want to analyze or model,...
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