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Feature Engineering and Selection: A Practical Approach for Predictive Models

Description

(Chapman & Hall/CRC Data Science Series) 1st Edition

by Max Kuhn (Author), Kjell Johnson (Author)

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.

Details

Year:
2020
Pages:
314
Language:
English
Format:
PDF
Size:
80 MB
ISBN-10:
1138079227
ISBN-13:
978-1138079229
ASIN:
B07VMP371H
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