Load the Telco customer churn dataset and understand which customer attributes correlate with churning.
Transform raw customer data into ML-ready features — encode categoricals, create interaction terms, and handle class imbalance.
Train and compare classification models — Logistic Regression, Random Forest, and Gradient Boosting — to predict customer churn.
Evaluate your churn model with ROC curves, confusion matrices, and translate predictions into business value.