Go straight to the code

So I feel like there is not a lot of good information out their on how to use Bayes Theorem for modeling – especially with Python code. Like try figuring out how to understand a Bayesian Linear Regression from just Google searches – not super easy. So I thought I would maybe do a series of posts working up to Bayesian Linear regression.

The first post in this series is an introduction to Bayes Theorem with Python. I hope this post helps some understand what Bayes Theorem is and why it is useful. As well as get a small insight into how it differs from frequentist methods.

If anything isn’t clear or you have any comments, please let me know! Also, if you have any great Bayes resources, please share, and I can add them to the site.

View my introduction here.

This article has been featured on dataconomy here.