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

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

作者
Max Kuhn、Kjell Johnson
语言
英语
出版社
Chapman and Hall/CRC
出版日期
2019年7月25日
纸书页数
310页
电子书格式
epub,pdf,mobi,azw3,txt,fb2,djvu
文件大小
73047 KB
下载次数
4068
更新日期
2023-07-13
运行环境
PC/Windows/Linux/Mac/IOS/iPhone/iPad/iBooks/Kindle/Android/安卓/平板
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内容简介

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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