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:
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