About

This canvas implements a complete customer churn prediction pipeline that loads telco customer data, cleans and encodes it, trains a logistic regression model, evaluates its performance, and exposes a deployable API endpoint for real-time churn predictions with risk classification. The workflow follows a linear data-to-model-to-deployment pattern, starting with data ingestion and ending with an API prediction service that returns churn probability and risk levels.