Assignment 2 - Customer Segmentation with Clustering

This repository contains the second assignment for the Artificial Intelligence 2 course during my Business Analytics master's program.

📊 Objective

• Segment customers based on purchasing behavior using unsupervised learning techniques.
• Apply the complete machine learning pipeline: data cleaning, feature engineering, clustering, and interpretation.
• Provide actionable marketing strategies tailored to each customer segment.

📁 Contents

• Clustering_Model.ipynb: Jupyter Notebook containing all the steps from data preparation to clustering model implementation.

⚙️ Technologies

• Python
• pandas
• scikit-learn
• numpy
• matplotlib
• seaborn

🚀 How to Run

Open Clustering_Model.ipynb in Jupyter Notebook or VSCode and execute the cells in order.