Customer Churn Prediction Using Machine Learning
Python, Flask, Machine Learning, Scikit-learn, Pandas, NumPy, SQLite, HTML, CSS, Bootstrap, Joblib
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About this project
Customer Churn Prediction Using Machine Learning is a web-based ML application designed to predict whether a customer is likely to leave a service or continue as an existing customer. The system collects customer-related information such as tenure, contract type, internet service, monthly charges and payment method, processes the information using a trained Logistic Regression model, and displays the predicted churn status along with churn probability. The application also maintains prediction history and provides a simple dashboard for analyzing previous predictions.
What this project does
- Customer churn prediction, Churn probability prediction, Customer details input form, Machine Learning model integration, Automatic data preprocessing, Churn/No Churn result, Prediction history, SQLite database, Prediction dashboard, Responsive web interface.
What you need
Python 3.10 or above, pip, Flask, Pandas, NumPy, Scikit-learn, Joblib, SQLite, Modern web browser. VS Code is recommended for running and editing the project.
How to run this project
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