haldiron1 / class_project

Classification: Credit Card Campaign

Case description

In the following project we put our hands on marketing study of a bank with 18,000 current bank customers.

Apart from the other banking and loan services, the bank provides credit card services that are a very important source of revenue. We have analyzed the data to understand the demographics and other characteristics of Banks customers that accept a credit card offer and that do not accept a credit card and built a Machine Learning model that, based on information about customer, predicts whether the customer would accept the credit offer or not.

Content:

1. Data processing & Machine Learning (provided in Python notebook)

2. Data visualisation, analysis and Dashboard (provided in Tableau)

3. SQL file with key information about the Bank Customers (provided in SQL script)

4. Presentation