Scikit-Learn shines when building fast, clean prototypes. Géron teaches how to chain preprocessing steps (e.g., imputers, scalers, encoders) with model training using Pipeline and ColumnTransformer. Combined with GridSearchCV, this enables full reproducibility and hyperparameter tuning. Every transformation becomes traceable and reusable. Pipelines are not just optional — they’re foundational for model testing, deployment, and collaboration. They make your workflow transparent and testable, turning raw experimentation into real engineering.
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