mdayanabbas/mlops-cust-satisfaction

This project demonstrates how to build a machine learning pipeline to predict customer satisfaction. It utilizes ZenML for pipeline development and MLflow for deployment. The pipeline processes data, trains a model, and deploys it as a service. A Streamlit app provides a user interface for making predictions.

Python