ML customer churn prediction backend

The ML Customer Churn Prediction API is a robust backend solution designed to predict customer churn using a machine learning model built with Scikit-learn. The API is developed using FastAPI, a modern web framework for building APIs with Python, and is containerized using Docker for easy deployment and scalability.

• Prediction API: Exposes a Scikit-learn Random Forest model through a clean RESTful API.
• Docker Support: Comes with a Dockerfile for building and deploying as a portable container.
• Model Retraining: Includes an endpoint to trigger model retraining on new data.
• Health Checks: GET /health endpoint for monitoring and uptime checks.
• Interactive Docs: Automatic API documentation provided by FastAPI at the /docs endpoint.

Churn Prediction API Docs Part 1

API documentation showcasing endpoints for predicting customer churn using FastAPI Part 1

Churn Prediction API Docs Part 2

API documentation showcasing endpoints for predicting customer churn using FastAPI Part 2