Project Description: Mining Starbucks customer data — predicting offer success

Introduction and motivation

This project aims to answer a set of questions based on the provided datasets from Starbucks: transactions, customer profiles and offer types.
The main question we will ask, and around which the whole project revolves, is:

What is the likelihood that a customer will respond to a certain offer?

Other questions to be answered are:

About the offers:

About the customers:

Gonzalo Munilla Garrido

I am a Ph.D in computer science interested in privacy enhancing techniques, namely differential privacy.

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