17. Automated Feature Engineering


In this chapter, you will be dealing with automated feature engineering using feature tools and analyzing datasets and building business context; creating entities from datasets and mapping the relationships between base datasets and entities; and building classification models based on automated feature engineering. By the end of this chapter, you will be able to use these automated feature engineering techniques.


In the previous chapter, we learned about a utility function called the ML pipeline, which automates various processes, such as scaling, dimensionality reduction, and modeling, within the data science life cycle.

In this chapter, we will learn about another utility that ...

Get The Data Science Workshop now with O’Reilly online learning.

O’Reilly members experience live online training, plus books, videos, and digital content from 200+ publishers.