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When you have numeric, categorical, and text columns, scikit‑learn’s Pipeline and ColumnTransformer let you build a single, reproducible workflow that applies the right transform to each column, tunes hyper‑parameters, and keeps data leakage at bay.
Pipeline Feature Alignment A scikit-learn Pipeline is designed to encapsulate sequential preprocessing steps and a final estimator. When integrating a ColumnTransformer as an intermediate step, the pipeline must maintain consistent feature dimensions between the transformation output and the estimator's input requirements. Uncertainty arises when categorical
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