- 书名:Feature Engineering and Selection: A Practical Approach for Predictive Models
- 出版社:CRC Press
- 作者:Max Kuhn, Kjell Johnson
- 出版年份:2021
- 电子书格式: pdf
- 简介:Master the art of feature engineering and selection with this practical guide by Max Kuhn and Kjell Johnson. Learn how to improve the accuracy and efficiency of your predictive models by transforming raw data into meaningful features. This book provides a comprehensive approach, covering various techniques, real-world examples, and practical advice for data scientists, machine learning engineers, and anyone working with predictive models. Enhance your data preprocessing skills and build more robust and accurate models. Gain valuable insights into feature selection methods for optimal model performance. Elevate your predictive modeling capabilities today!
- ISBN:9781032090856, 97811
- 下载地址(点击下载):
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