193,04 €
214,49 €
-10% with code: EXTRA
Feature Engineering and Selection
Feature Engineering and Selection
193,04
214,49 €
  • We will send in 10–14 business days.
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.
214.49
  • Publisher:
  • ISBN-10: 1138079227
  • ISBN-13: 9781138079229
  • Format: 18.3 x 25.4 x 2.3 cm, kieti viršeliai
  • Language: English
  • SAVE -10% with code: EXTRA

Feature Engineering and Selection (e-book) (used book) | bookbook.eu

Reviews

(4.22 Goodreads rating)

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.

EXTRA 10 % discount with code: EXTRA

193,04
214,49 €
We will send in 10–14 business days.

The promotion ends in 22d.13:49:53

The discount code is valid when purchasing from 10 €. Discounts do not stack.

Log in and for this item
you will receive 2,14 Book Euros!?
  • Author: Max Kuhn
  • Publisher:
  • ISBN-10: 1138079227
  • ISBN-13: 9781138079229
  • Format: 18.3 x 25.4 x 2.3 cm, kieti viršeliai
  • Language: English English

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.

Reviews

  • No reviews
0 customers have rated this item.
5
0%
4
0%
3
0%
2
0%
1
0%
(will not be displayed)