This project builds likelihood-of-buying prediction models for each product a customer buys over time. It will not store or cache any results so it's not optimized for performance.
Shared here for illustration purposes on how to do simple data manipulation and linear regression with Python, Pandas, Numpy and Matplotlib + display output on a React webpage using async calls to an API built with Slim; no sensitive data was uploaded to this repository (only code of my own).