MLOps deploying house estimate model
This project deploys a diabetes prediction model on AWS using MLOps principles. It features a Flask-based UI for user interaction and utilizes CI/CD pipelines for automated deployment. By leveraging AWS infrastructure, the project ensures scalability, version control, and monitoring of the deployed model.
Using IncidentsDataset, a MIT's model, to implement a script for a MLOPS class project. Here you can find the original model's site: http://incidentsdataset.csail.mit.edu/:
End to End MLOps Project - Customer Churn Prediction
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