ML-Pipeline-AWS
PublicThis project aims to build a machine learning pipeline that predicts customer churn using AWS services like SageMaker for model training and deployment, along with Docker for containerization.
This project aims to build a machine learning pipeline that predicts customer churn using AWS services like SageMaker for model training and deployment, along with Docker for containerization.