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.

MLOps deploying house estimate model

A blog where I siddha-artha(Sankrit for prove meanings) about ML/AI and coding

MLOps with MLFlow for object detection using Tensorflow model.

The real estate app features three modules for predictive pricing, market insights, and personalized recommendations, utilizing machine learning and data analysis. It redefines real estate exploration by empowering users with valuable tools and insights.

Documents Participation in the MLOps ZoomCamp by Datatalks Club, showcasing various MLOps practices: Experiment Tracking, Orchestration, Deployment, Monitoring, and Best Practices.

This is the repository of my study in MLOps Zoomcamp from DataTalksClub.

Complete Machine learning python flask application for credit Card default Prediction. Features with modular, functional, and object oriented programming.