The Customer Churn Prediction project is designed to help businesses identify customers who are at risk of churning, allowing proactive measures to retain them. This project combines data engineering for data collection and cleaning, machine learning for predictive modeling, and web-based deployment for user interaction.
- Data Collection, Data Cleaning
- Python libraries: scikit-learn, pandas
- Languages: Python, HTML, CSS
- Machine Learning: scikit-learn, Regression model
- Web Deployment: Flask
Run the following command to execute the flask : flask app.py
Run the Web interactive app to input the values to predict whether the customer churns or not: http://127.0.0.1:5000