Feature Engineering and Selection (A Practical Approach for Predictive Models) - 9781032090856
List Price:
$67.99
- Availability: Confirm prior to ordering
- Branding: minimum 50 pieces (add’l costs below)
- Check Freight Rates (branded products only)
Branding Options (v), Availability & Lead Times
- 1-Color Imprint: $2.00 ea.
- Promo-Page Insert: $2.50 ea. (full-color printed, single-sided page)
- Belly-Band Wrap: $2.50 ea. (full-color printed)
- Set-Up Charge: $45 per decoration
- Availability: Product availability changes daily, so please confirm your quantity is available prior to placing an order.
- Branded Products: allow 10 business days from proof approval for production. Branding options may be limited or unavailable based on product design or cover artwork.
- Unbranded Products: allow 3-5 business days for shipping. All Unbranded items receive FREE ground shipping in the US. Inquire for international shipping.
- RETURNS/CANCELLATIONS: All orders, branded or unbranded, are NON-CANCELLABLE and NON-RETURNABLE once a purchase order has been received.
Product Details
Author:
Max Kuhn, Kjell Johnson
Format:
Paperback
Pages:
314
Publisher:
CRC Press (June 30, 2021)
Language:
English
Audience:
Professional and scholarly
ISBN-13:
9781032090856
Weight:
16oz
Dimensions:
7" x 10"
File:
TAYLORFRANCIS-TayFran_260403050944986-20260403.xml
Folder:
TAYLORFRANCIS
List Price:
$67.99
Country of Origin:
United States
Series:
Chapman & Hall/CRC Data Science Series
Case Pack:
1
As low as:
$64.59
Publisher Identifier:
P-CRC
Discount Code:
H
Pub Discount:
30
Imprint:
Chapman and Hall/CRC
Overview
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.








