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Azure Machine Learning Python SDK is a curated repository of Python-based Jupyter notebooks that demonstrate how to develop, train, evaluate, and deploy machine learning and deep learning models using the Azure Machine Learning Python SDK. The content spans a wide range of real-world tasks — from foundational quickstarts that teach users how to configure an Azure ML workspace and connect to compute resources, to advanced tutorials on using pipelines, automated machine learning, and dataset handling. Because it is designed to work with Azure Machine Learning compute instances, many notebooks can be executed directly in the cloud without additional setup, but they can also run locally with the appropriate SDK and packages installed. Each notebook includes code, narrative explanations, and example workflows that help users build reproducible machine learning solutions, which are key for operationalizing models in production.
Features
- Comprehensive Python Jupyter notebooks for Azure ML workflows
- Examples covering model training, evaluation, and deployment
- Tutorials on ML pipelines and automated machine learning
- Demonstrations of dataset usage and compute integration
- Ready-to-run content for Azure Machine Learning compute instances
- MIT-licensed open-source educational resource
Project Samples
