Feature Engineering for Modern Machine Learning with Scikit-Learn

Chapter 8 Summary

In this chapter, we explored the impact of automated machine learning (AutoML) and automated feature engineering on modern data science workflows. AutoML has become a powerful tool, enabling practitioners to build robust machine learning models without extensive manual intervention. By automating tasks like feature engineering, model selection, and hyperparameter tuning, AutoML democratizes access to machine learning and helps experts streamline the modeling process, saving time and resources.

We began by examining the concept of automated feature engineering with tools like Featuretools, which uses deep feature synthesis to generate complex features based on relationships in data. This process can uncover significant patterns ...