The purpose of this project is to find customer segments from the credit card data which shows different attributes of 8500 clients. The main task is to find the optimal number of segments and segment attributes so that the business may target specific segments in marketing campaings.

Ansam Zedan * Franco Pallitto * Özgün Haznedar

• Exploratory Data Analysis
• Unsupervised and Supervised Machine Learning
• Data Visualization
• Predictive Modeling

• Python
• Pandas, jupyter
• Sklearn

Anlazying Credit card customer data base. Exploring customer payment behavior for targeted marketing. challenges: small dataset, more infortmation needed for better data analysis like timestamps.

1. Clone this repo (for help see this tutorial).
2. Raw Data is being kept here within this repo.
3. Data processing/transformation scripts are being kept here
4. Data presentation example for clients here

• Özgün Haznedar
• Franco Pallitto
• Ansam Zedan