How to Choose Good Machine Learning Features
Choosing features is one of the most practical skills in machine learning. The model can only learn from the signals you give it, so weak or misleading features can hurt even a strong algorithm. Use this guide as a checklist when reviewing raw data before building a model. The practical goal is to decide which signals deserve to be in the model and which ones should be removed, transformed, grouped, or reviewed more carefully. ...