bokomslag Feature Engineering and Selection
Data & IT

Feature Engineering and Selection

Max Kuhn Kjell Johnson

Pocket

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  • 314 sidor
  • 2021
The process of developing predictive models includes many stages. Most resources focus on the modeling algorithms but neglect other critical aspects of the modeling process. This book describes techniques for finding the best representations of predictors for modeling and for nding the best subset of predictors for improving model performance. A variety of example data sets are used to illustrate the techniques along with R programs for reproducing the results.
  • Författare: Max Kuhn, Kjell Johnson
  • Format: Pocket/Paperback
  • ISBN: 9781032090856
  • Språk: Engelska
  • Antal sidor: 314
  • Utgivningsdatum: 2021-06-30
  • Förlag: Chapman & Hall/CRC