Bayesian-Inference-with-PyMC

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 a prior predictive model. We use Bayesian statistics and Python's PyMC library to carry out automated inference.