https://github.com/Azure/MachineLearningNotebooks

Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft
https://github.com/Azure/MachineLearningNotebooks

azure azure-machine-learning azure-ml azureml data-science deep-learning machine-learning notebook

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Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft

• Host: GitHub
• URL: https://github.com/Azure/MachineLearningNotebooks
• Owner: Azure
• License: mit
• Created: 2018-08-17T17:29:14.000Z (almost 6 years ago)
• Default Branch: master
• Last Pushed: 2024-05-16T16:15:58.000Z (about 1 month ago)
• Last Synced: 2024-05-16T17:33:17.990Z (about 1 month ago)
• Topics: azure, azure-machine-learning, azure-ml, azureml, data-science, deep-learning, machine-learning, notebook
• Language: Jupyter Notebook
• Homepage: https://docs.microsoft.com/azure/machine-learning/service/
• Size: 74.7 MB
• Stars: 3,962
• Watchers: 1,968
• Forks: 2,477
• Open Issues: 388
• Metadata Files:
  • Readme: README.md
  • License: LICENSE
  • Code of conduct: CODE_OF_CONDUCT.md
  • Security: SECURITY.md

Lists

• awesome-stars - Azure/MachineLearningNotebooks
• awesome-stars - Azure/MachineLearningNotebooks - Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft (Jupyter Notebook)
• Awesome-Azure-Advanced-Analytics - Azure ML Sample Notebooks - The most recent code samples and tutorials of Azure ML. (AI + Machine Learning / Machine Learning)
• awesome - Azure/MachineLearningNotebooks - Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft (Jupyter Notebook)
• awesome - MachineLearningNotebooks - Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft (Jupyter Notebook)
• jimsghstars - Azure/MachineLearningNotebooks - Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft (Jupyter Notebook)
• awesome-projects - MachineLearningNotebooks - Python notebooks with ML and deep learning examples with Azure Machine Learning | Microsoft (Jupyter Notebook)
• awesome-python-machine-learning-resources - GitHub - 21% open · ⏱️ 19.08.2022): (工作流程和实验跟踪)
• my-awesome-stars - Azure/MachineLearningNotebooks - Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft (Jupyter Notebook)

README

        
# Azure Machine Learning Python SDK notebooks

### **With the introduction of AzureML SDK v2, this samples repository for the v1 SDK is now deprecated and will not be monitored or updated. Users are encouraged to visit the [v2 SDK samples repository](https://github.com/Azure/azureml-examples) instead for up-to-date and enhanced examples of how to build, train, and deploy machine learning models with AzureML's newest features.**

Welcome to the Azure Machine Learning Python SDK notebooks repository!

## Getting started

These notebooks are recommended for use in an Azure Machine Learning [Compute Instance](https://docs.microsoft.com/azure/machine-learning/concept-compute-instance), where you can run them without any additional set up.

However, the notebooks can be run in any development environment with the correct `azureml` packages installed.

Install the `azureml.core` Python package:

```sh

pip install azureml-core

```

Install additional packages as needed:

```sh

pip install azureml-mlflow

pip install azureml-dataset-runtime

pip install azureml-automl-runtime

pip install azureml-pipeline

pip install azureml-pipeline-steps

...

```

We recommend starting with one of the [quickstarts](tutorials/compute-instance-quickstarts).

## Contributing

This repository is a push-only mirror. Pull requests are ignored.

## Code of Conduct

This project has adopted the [Microsoft Open Source Code of Conduct](https://opensource.microsoft.com/codeofconduct/). Please see the [code of conduct](CODE_OF_CONDUCT.md) for details.

## Reference

- [Documentation](https://docs.microsoft.com/azure/machine-learning)