Feature Engineering for Machine Learning: Principles and Techniques for Data Scientists
Feature Engineering Is A Crucial Step In The Machine Learning Pipeline, Yet This Topic Is Rarely Examined On Its Own. With This Practical Book, You’ll Learn Techniques For Extracting And Transforming Features—the Numeric Representations Of Raw Data—into Formats For Machine Learning Models. Eac, Download PDF file of Feature Engineering for Machine Learning: Principles and Techniques for Data Scientists, Published originally in 2018. This PDF file has 217 Pages pages and the PDF file size is 3.92 MB. The PDF file is written in English, Categorized in . As of 06 February 2025, this page has been bookmarked by 49,874 people. Now You Can Download "Feature Engineering for Machine Learning: Principles and Techniques for Data Scientists Book" as PDF or You Can See Preview By Clicking Below Button.
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