This Jupyter notebook implements a Bayesian model for (A) fitting the posterior distribution given the data and (B) predicting consumer spending behavior in an e-commerce company. The objective is to model the average amount of money customers spend per month, considering specific constraints without the actual data by prior predictive model.
Repository from Github https://github.comgkukish/Bayesian-Inference-with-PyMC
