Create a Customer Segmentation Report for Arvato Financial Solutions

To introduce yourself to the scenario you'll be investigating in this capstone project option, take a look at the following video with Timo Reis from Arvato Financial Solutions.

Steps to Complete This Project

The project has three major steps: the customer segmentation report, the supervised learning model, and the Kaggle Competition.

1. Customer Segmentation Report

You'll begin the project by using unsupervised learning methods to analyze attributes of established customers and the general population in order to create customer segments.

2. Supervised Learning Model

You'll have access to a third dataset with attributes from targets of a mail order campaign. You'll use the previous analysis to build a machine learning model that predicts whether or not each individual will respond to the campaign.

3. Kaggle Competition

Once you've chosen a model, you'll use it to make predictions on the campaign data as part of a Kaggle Competition. You'll rank the individuals by how likely they are to convert to being a customer, and see how your modeling skills measure up against your fellow students.