NCA-ADS - Data Science Pipelines and Workflow Automation - Section 3.2

Apply feature engineering and feature selection.

Create new features and remove low-value ones through methods such as correlation filtering, mutual information scoring, and wrapper-based selection. Understand how embedding feature selection inside a pipeline prevents leakage across cross-validation folds.

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