The Hitchhiker’s Guide to Feature Extraction

Good Features are the backbone of any machine learning model.

And good feature creation often needs domain knowledge, creativity, and lots of time.

In this post, I am going to talk about:

• Various methods of feature creation- Both Automated and manual

• Different Ways to handle categorical features

• Longitude and Latitude features

• Some kaggle tricks

• And some other ideas to think about feature creation.

TLDR; this post is about useful feature engineering methods and tricks that I have learned and end up using often.

1. Automatic Feature Creation using featuretools: