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What are pipelines in machine learning?

Mid Python
Quick Answer Scikit-learn Pipeline chains preprocessing and model into one object: Pipeline(steps=[("scaler", StandardScaler()), ("model", LogisticRegression())]). Benefits: prevents data leakage (fit applies only to training data), easier cross-validation, model serialization includes preprocessing, clean code. Combine with GridSearchCV for hyperparameter tuning across all steps.

Answer

Combine preprocessing and models into a workflow.
Ensures consistent transformations.
Improves reproducibility.
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