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

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:	Taylor & Francis
Country of origin:	United Kingdom
Series:	Chapman & Hall/CRC Data Science Series
Release date:	June 2021
First published:	2020
Authors:	Max Kuhn • Kjell Johnson
Dimensions:	254 x 178 x 22mm (L x W x T)
Format:	Paperback
Pages:	314
ISBN-13:	978-1-03-209085-6
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Professional & Technical > Environmental engineering & technology > General Books > Computing & IT > General theory of computing > General Books > Computing & IT > Applications of computing > Databases > General Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Automatic control engineering > General
LSN:	1-03-209085-5
Barcode:	9781032090856

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