Feature Engineering and Selection - A Practical Approach for Predictive Models (Hardcover)

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.

General

Imprint:	Crc Press
Country of origin:	United Kingdom
Series:	Chapman & Hall/CRC Data Science Series
Release date:	August 2019
First published:	2020
Authors:	Max Kuhn • Kjell Johnson
Dimensions:	254 x 178 x 18mm (L x W x T)
Format:	Hardcover
Pages:	298
ISBN-13:	978-1-138-07922-9
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics
LSN:	1-138-07922-7
Barcode:	9781138079229

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