One question that is often asked by those who know Machine Learning to me is how do I build a Bayesian Logistic Regression model? If you know how to build a logistic regression model in sklearn or a standard machine learning library it’s quite easy to learn how to do the Bayesian version.
In this screencast I show how to do that.
Want to learn more?
I’ve spent 3 years teaching over 400 professional data scientists how to build Bayesian models. I’ve put this together, and included examples from marketing, policy analysis, sports analytics and e-commerce into a course called Probabilistic Programming Primer. If you’d like to learn more – you can sign up here.