Feature Engineering and Selection: A Practical Approach for Predictive Models (Chapman & Hall/CRC Data Science Series)
By: and
Sign Up Now!
Already a Member? Log In
You must be logged into Bookshare to access this title.
Learn about membership options,
or view our freely available titles.
- Synopsis
- 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.
- Copyright:
- 2020
Book Details
- Book Quality:
- Publisher Quality
- Book Size:
- 298 Pages
- ISBN-13:
- 9781351609463
- Related ISBNs:
- 9781315108230, 9781032090856, 9781138079229
- Publisher:
- CRC Press
- Date of Addition:
- 08/26/23
- Copyrighted By:
- Taylor & Francis Group, LLC
- Adult content:
- No
- Language:
- English
- Has Image Descriptions:
- No
- Categories:
- Nonfiction, Computers and Internet, Business and Finance, Mathematics and Statistics
- Submitted By:
- Bookshare Staff
- Usage Restrictions:
- This is a copyrighted book.
Reviews
Other Books
- by Max Kuhn
- by Kjell Johnson
- in Nonfiction
- in Computers and Internet
- in Business and Finance
- in Mathematics and Statistics