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.
