Feature Engineering and Selection: A Practical Approach for Predictive Models
Series: Chapman & Hall/CRC Data Science SeriesPublisher: Boca Raton: CRC Press; 2020Description: 297pISBN: 629.80285513Subject(s): Predictive Control - Data Processing | Predictive Control - Mathematical Models | R (Computer program language) | Commande Prédictive -- Informatique | Commande Prédictive -- Modèles Mathématiq | Computer - Database Management - Data MiningDDC classification: 629.8028553| Item type | Home library | Collection | Call number | Status | Date due | Barcode | Item holds |
|---|---|---|---|---|---|---|---|
Reference
|
SOT Library | Computer Science and Engineering | 629.8028553 KUH (Browse shelf) | Available | E0015792 |
Total holds: 0
Contents:
Chapter: 1. Introduction.
Chapter: 2. Illustrative Example: Predicting Risk of Ischemic Stroke.
Chapter: 3. A Review of the Predictive Modeling Process.
Chapter: 4. Exploratory Visualizations.
Chapter: 5. Encoding Categorical Predictors.
Chapter: 6. Engineering Numeric Predictors.
Chapter: 7. Detecting Interaction Effects.
Chapter: 8. Handling Missing Data.
Chapter: 9. Working with Profile Data.
Chapter: 10. Feature Selection Overview.
Chapter: 11. Greedy Search Methods.
Chapter: 12. Global Search Methods.
There are no comments on this title.