Contribute Media
A thank you to everyone who makes this possible: Read More

The art of categorical encoding for Tabular data problems


Shubh Chatterjee

When developing a predictive machine learning model for a tabular data problem, we are normally inundated with variety of predictive features to try out.The features are a blend of numerical and categorical features.When handling the categorical features normally an analysts defaults to the most convenient method or most documented method on the web or on stack-overflow forums.But this is where there is a high possibility of missing out on significant predictive gain by representing a feature to an algorithm in a format where it adds the most to overall predictive efficiency .

This talk aims to share a quick overview of categorical encoding techniques and some time-tested intuitions on when to use what.

Produced by NDV:

Python, PyCon, PyConAU, PyConline

Sat Sep 5 16:00:00 2020 at Floperator

Improve this page