Telecommunication and subscription-based companies rely heavily on churn prediction models to retain customers. So, I have built an end-to-end ML pipeline to classify customers as “likely to churn” or “likely to stay,” using tabular data that combines demographic, behavioral, and usage features.
“Dataset sourced from Kaggle (Telco Customer Churn). Usage subject to original dataset license.”