Let's Implement Bayesian Ordered Logistic Regression!
Speaker: Marco Edward Gorelli
Summary
If you work in data science / statistics, you've probably run classification tasks. But what if your categories have some ordering? You might have just used regression and binned the output somehow, but is there a principled, Bayesian way to do this? And what if you have an ordered, categorical feature?
In this talk, you'll learn how to implement Ordered Logistic Regressor, in Python!
Marco Edward Gorelli's bio
Senior data scientist at Gousto, Univ of Oxford MSc, pandas maintainer, author of nbQA
GitHub: https://github.com/MarcoGorelli/
PyData Global 2021
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