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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) 0.0分

资源最后更新于 2020-09-27 15:05:52

作者:Max Kuhn

出版社:Chapman and Hall/CRC

出版日期:2019-01

ISBN:9781138079229

文件格式: pdf

标签: 特征工程 机器学习 数据科学 数学和计算机 Statistics

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 finding the best subset of predictors for improving model performance. A variety of example data sets a...

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