Kuhn, Max and Johnson, Kjell <br/><br/>
Feature Engineering and Selection:  A Practical Approach for Predictive Models 

 - Boca Raton:  CRC Press;  2020. 
 - 297p. 
 - Chapman & Hall/CRC Data Science Series. .
<br/><br/> Contents:<br/>Chapter: 1. Introduction. <br/>Chapter: 2. Illustrative Example: Predicting Risk of Ischemic Stroke. <br/>Chapter: 3. A Review of the Predictive Modeling Process. <br/>Chapter: 4. Exploratory Visualizations. <br/>Chapter: 5. Encoding Categorical Predictors. <br/>Chapter: 6. Engineering Numeric Predictors. <br/>Chapter: 7. Detecting Interaction Effects.<br/>Chapter: 8. Handling Missing Data. <br/>Chapter: 9. Working with Profile Data. <br/>Chapter: 10. Feature Selection Overview. <br/>Chapter: 11. Greedy Search Methods. <br/>Chapter: 12. Global Search Methods.<br/> 
<br/><br/><label>ISBN: </label>629.80285513 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Predictive Control - Data Processing.<br/>Predictive Control - Mathematical Models.<br/>R (Computer program language)<br/>Commande Prédictive -- Informatique.<br/>Commande Prédictive -- Modèles Mathématiq<br/>Computer - Database Management - Data Mining.
<br/><br/><label>Dewey Class. No.: </label>629.8028553  / KUH