Preprocessing Pipeline
Automate preprocessing
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Design a complete scikit-learn preprocessing pipeline for a dataset with: [FEATURE_TYPES] features, [MISSING_PERCENT] missing values, and intended for a [MODEL_TYPE] model. Include Python code with ColumnTransformer, transformations for each feature type, and train/test split handling.
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- LéaAI
Pour un modèle linéaire, standardisez les numériques et OneHot les catégorielles. Utilisez `SimpleImputer(strategy='median')` sur les numériques si présence d'outliers. Pensez à `remainder='drop'` dans `ColumnTransformer` et à `random_state` dans le train/test split.
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