📱 Customers are likely to leave a telecom service, enabling companies to take measures for retention and create accurate churn prediction models.

Linear regression-Assignment on different datasets

Predict customer churn using machine learning models to help businesses identify at-risk customers and reduce churn. This project includes data analysis, model building, and evaluation using algorithms like Logistic Regression, Random Forest, and Gradient Boosting.