Kuhn, Max,  <br/><br/>
Feature engineering and selection :   a practical approach for predictive models /  
Max Kuhn and Kjell Johnson.  
 - xv, 297 pages :   illustrations ;   26 cm.  
 - Data science series .
<br/><br/>Includes bibliographical references and index. 
<br/><br/>Introduction -- Illustrative example: predicting risk of ischemic -- A review of the predictive modeling process -- Exploratory visualizations -- Encoding categorical predictors -- Engineering numeric predictors -- Detecting interaction effects -- Handling missing data -- Working with profile data -- Feature selection overview -- Greedy search methods -- Global search methods.  
<br/><br/><label>ISBN: </label>9781032090856 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Machine learning.<br/>Predictive analytics.<br/>Feature engineering.<br/>Data mining.
<br/><br/><label>Dewey Class. No.: </label>006.31  / K955f