azure-ml-sdk

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designer-coderajay / azure-ml-pipeline

End-to-end ML pipeline on Azure Machine Learning for heart disease prediction. Features 4-step automated workflow (data prep, training, evaluation, registration), MLflow experiment tracking, and managed endpoint deployment. Built with Azure ML SDK v2, scikit-learn, and auto-scaling compute clusters.

python random-forest azure scikit-learn ml machine-learning-pipelines azuremachinelearning ml-flow heart-disease-prediction mlops-project azure-ml-sdk

Updated Jun 9, 2026
Python

philipatosam / azure-ml-project

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Production-grade ML pipeline built with the Azure ML SDK covering dataset registration, compute cluster provisioning, cloud training, model registry, and real-time REST API deployment. Cloud-trained ROC AUC of 0.8313 matching local results.

python data-science machine-learning rest-api xgboost azure-machine-learning model-deployment uvicorn mlops fastapi cloud-ml azure-ml-sdk

Updated May 6, 2026
Jupyter Notebook

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