Banking Customer Analysis Project 🏦

This Jupyter Notebook analyzes banking customer data to uncover insights related to customer churn, demographics, and product usage.

📊 Technologies Used

• Python (Pandas, Matplotlib, Seaborn)
• Jupyter Notebook

📁 File

• banking_project.ipynb — Main notebook with analysis and visualizations

💡 Summary

• Visualized customer distribution by age and gender
• Analyzed product usage patterns
• Identified key factors influencing customer churn

🚀 How to Run

1. Clone the repository
2. Open the notebook using Jupyter or VS Code