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What is Chap 3 ML about?

Feature Engineering is the process of selecting, creating, or modifying features to enhance machine learning model performance. It involves techniques such as feature selection, extraction, and scaling, which improve accuracy, reduce overfitting, and boost interpretability. Dimensionality reduction methods like PCA and LDA are also discussed as ways to simplify data while retaining essential information.

Author
redouan
Language
EN

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