تفاصيل العمل

-Built a Random Forest Classifier to predict customer churn using the Telco Customer Churn dataset.

-Performed data preprocessing and feature encoding to handle categorical variables effectively.

-Deployed an interactive Streamlit web app for real-time churn prediction and probability display.

-Achieved high accuracy in identifying customers likely to churn, supporting proactive retention strategies.

بطاقة العمل

اسم المستقل
عدد الإعجابات
0
تاريخ الإضافة