Best Customer Churn Prediction System Using ML and Python
Customer Churn Prediction System
Overview
The Customer Churn Prediction System is a simple web app built using Streamlit. It checks customer data and predicts which customers might stop using a service. It uses a machine learning model to give results and helps understand customer behavior better.This project is great for students, data science beginners, or anyone who wants to learn about predictive analytics.All the code and files are included in a ZIP folder, so it’s easy to set up and run.
Project Details
| Project Name | Language |
|---|---|
| Customer Churn Prediction System | Language: Python (Streamlit Framework) |
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Language/s Used
- Python
- Framework: Streamlit
- Python Version Recommended: 3.8+
Available Features
- Real-time churn prediction using trained RandomForestClassifier
- Interactive dashboards using Plotly
- Multi-page Streamlit app with sidebar navigation
- Custom CSS with Salesforce-inspired styling
- Risk scoring and analytics visualization
- Data processing using Pandas and NumPy
- Model loading with Joblib (no need for retraining)
- Lightweight deployment with zero database setup
- Fully documented architecture and setup guide
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