-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.