This project tries to predict whether or not a customer of Starbucks with respond to an offer sent to them based on data of their previous activity. Data is cleaned and processed and then a catboost model is trained to predict the response. It is the last project of the Machine Learning Engineer Nanodegree.
Note: The proposal says the models used with be from SageMaker but after submitting the proposal i decided to use regular models for easier testing of results.