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Working with features is part of the overall necessary data preparation process before running a machine learning model, and it can be massively important in getting good results. In data analysis, we don’t usually do much feature engineering. Feature engineering is generally associated with machine learning because the features you use can make or break a machine learning model.

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Ready for the Main Event: Feature Engineering, Selection, and Reduction

  • 章节

  • 发表日期：

    2025年

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  • Kelly P. Vincent

摘要

Working with features is part of the overall necessary data preparation process before running a machine learning model, and it can be massively important in getting good results. In data analysis, we don’t usually do much feature engineering. Feature engineering is generally associated with machine learning because the features you use can make or break a machine learning model.