Build a feature engineering pipeline
Create reproducible preprocessing pipelines
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Build a scikit-learn Pipeline for a [classification/regression] task with the following preprocessing steps: impute missing values in [numerical columns] with median, scale with RobustScaler, encode [categorical columns] with OneHotEncoder, and apply polynomial features of degree 2 to [key columns]. Make the pipeline serializable with joblib.
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