Feature Engineering Bookcamp

9 Putting it all together

This chapter covers

• A recap of the feature engineering pipeline
• The five categories of feature engineering
• Frequently asked questions about feature engineering
• Other less-common applications of feature engineering

Wow. We did it. We have been through a lot together—from trying to distinguish between COVID-19 and the flu to trying to predict the stock market and a lot of things in between. In each of our case studies, we saw ways of manipulating data for the explicit purposes of maximizing ML metrics, minimizing bias from data, and simplifying how we view data. This chapter aims to wrap up everything we’ve talked about in a neat bow and give you the confidence and power to use feature engineering to enhance your ML ...