Customer Churn Prediction Model
تفاصيل العمل
I built a machine learning model to predict customer churn for a telecom company. Using Python, Pandas, and Scikit-learn, I cleaned and preprocessed customer data, applied feature engineering, and trained classification models such as Random Forest and XGBoost. The final model achieved over 85% accuracy and helped the company identify at-risk customers, enabling proactive retention strategies and reducing churn rates.
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