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Feature engineering and selection : a practical approach for predictive models / Max Kuhn and Kjell Johnson.

By: Contributor(s): Material type: TextTextSeries: Data science seriesPublisher: Boca Raton, Florida : CRC Press, an imprint of Taylor & Francis Group, 2020Description: xv, 297 pages : illustrations ; 26 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9781032090856
Subject(s): DDC classification:
  • 006.31 K955f 23
Contents:
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.
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Holdings
Item type Current library Shelving location Call number Copy number Status Date due Barcode
Books Books Main Library Engineering Section ENG 006.31 K955f 2020 (Browse shelf(Opens below)) 1-1 Available 028468

Includes bibliographical references and index.

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.

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