Project Details
Project Information
- Category: ML App
- Role: Lead Data Scientist
- Project date: Jun 2025 - Jul 2025
- Project URL: github.com/abdullahfayed6/Telco-Churn-Classification
- GitHub Repo: github.com/abdullahfayed6/Telco-Churn-Classification
Project Overview
ML model for telecom churn prediction with 90%+ accuracy and clear risk segmentation.
Key Features
XGBoost Classification
High-accuracy churn classification using tree-based ensemble methods.
Streamlit Interface
Interactive web interface for predictions on individual or batch customers.