This repository contains by notes on the book Bayesian Analysis with Python (2e) by Osvaldo Martin. I have a good understanding of the basics of Bayesian analysis after working through Richard McElreath's Statistical Rethinking (my notes), and I want to get more practice using Python and Bayesian analysis techniques. This book should serve as a strong introduction to the PyMC3 library and provide another perspective on conducting Bayesian data analysis.
Ch 2. Programming Probabilistically
Ch 3. Modeling with Linear Regression
Ch 4. Generalized Linear Models
Ch 5. Model Comparison
Ch 6. Mixture Models
Ch 7. Gaussian Processes
Ch 8. Inference Engines