Encoding

: The Midnight Paradox Imagine this. You’re constructing a model to predict electricity demand or taxi pickups. So, you feed it time (corresponding to minutes) starting at midnight. Clean and easy. Right? Now your model sees...

DATA PREPROCESSINGSix ways of matchmaking categories and numbers10 min read·19 hours agoAh, categorical data — the colourful characters in our datasets that machines just can’t seem to grasp. That is where “red” becomes 1,...

Why we are able to’t arbitrarily encode categorical featuresIt’s well-known that many machine learning models can’t process categorical features natively. While there are some exceptions, it’s normally as much as the practitioner to come...