“Customer Churn Prediction” is a popular machine learning project that aims to predict whether a customer will leave a service or not. The project uses various machine learning models such as Random Forest and survival analysis models to predict the likelihood of customer churn. The project also uses data analysis techniques such as feature engineering, cross-validation, and model evaluation to improve the accuracy of the prediction models.