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Feature Engineering and Selection: A Practical Approach for Predictive Models (Chapman & Hall/CRC Data Science Series)

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Description
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.
ASIN: 1138079227
VSKU: GBV.1138079227.A
Condition: Acceptable
Author/Artist:Kuhn, Max|Johnson, Kjell
Binding: Hardcover
Note: Any images shown are stock photographs and product may differ from what is shown.
Condition Notes: This copy has heavy writing.
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Feature Engineering and Selection: A Practical Approach for Predictive Models (Chapman & Hall/CRC Data Science Series)