9781138079229-1138079227-Feature Engineering and Selection: A Practical Approach for Predictive Models (Chapman & Hall/CRC Data Science Series)

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

ISBN-13: 9781138079229
ISBN-10: 1138079227
Edition: 1
Author: Max Kuhn, Kjell Johnson
Publication date: 2019
Publisher: Chapman and Hall/CRC
Format: Hardcover 314 pages
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Book details

ISBN-13: 9781138079229
ISBN-10: 1138079227
Edition: 1
Author: Max Kuhn, Kjell Johnson
Publication date: 2019
Publisher: Chapman and Hall/CRC
Format: Hardcover 314 pages

Summary

Feature Engineering and Selection: A Practical Approach for Predictive Models (Chapman & Hall/CRC Data Science Series) (ISBN-13: 9781138079229 and ISBN-10: 1138079227), written by authors Max Kuhn, Kjell Johnson, was published by Chapman and Hall/CRC in 2019. With an overall rating of 3.7 stars, it's a notable title among other Environmental Economics (Economics, Statistics, Education & Reference, Data Mining, Databases & Big Data) books. You can easily purchase or rent Feature Engineering and Selection: A Practical Approach for Predictive Models (Chapman & Hall/CRC Data Science Series) (Hardcover, Used) from BooksRun, along with many other new and used Environmental Economics books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $4.25.

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.

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