Glossary

Practical Note

`SequentialFeatureSelector` is slow. With 13 features, 5-fold CV, and a gradient boosted model, forward selection trains 13 + 12 + 11 + ... + 6 = 57 model-CV combinations = 285 model fits. With 50 features, that number explodes. Use forward selection sparingly, and only after filter methods have nar

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Intermediate Data Science — Chapter 9: Feature Selection

Intermediate Data Science — Chapter 21: Dimensionality Reduction

Intermediate Data Science — Case Study 2: StreamFlow Unusual Usage Patterns

Intermediate Data Science — Chapter 22: Anomaly Detection

Intermediate Data Science — Chapter 23: Association Rules and Market Basket Analysis

Intermediate Data Science — Case Study 1: ShopSmart Product Recommendations

Intermediate Data Science — Case Study 2: StreamFlow Content Recommendations for Churn Reduction

Intermediate Data Science — Chapter 24: Recommender Systems

Intermediate Data Science — Case Study 1: StreamFlow Drift Detection and Monitoring

Intermediate Data Science — Case Study 2: TurbineTech Seasonal Drift and Sensor Calibration

Intermediate Data Science — Chapter 33: Fairness, Bias, and Responsible ML

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