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Azure Machine Learning service sample notebooks

Use either of these methods to run the notebooks in this repository:

  • Azure Notebooks - Jupyter based notebooks in the Azure cloud

    1. Azure Notebooks Import sample notebooks into Azure Notebooks.
    2. Create a workspace and its configuration file (config.json) using these instructions.
    3. Select +New in the toolbar to add your config.json file to the same folder as the notebook.
    4. Open the notebook.
  • Your own notebook server

    Note: Looking for automated machine learning samples? For your convenience, you can use a script to install instead. Go to the automl folder README and follow the instructions.

    1. Use these instructions to:
      • Create a workspace and its configuration file (config.json).
      • Configure your notebook server.
    2. Clone this repository.
    3. Add your config.json file to the cloned folder - you may need to install other packages for specific notebooks.
    4. Start your notebook server.
    5. Open the notebook you want to run.

Contributing

This project welcomes contributions and suggestions. Most contributions require you to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. For details, visit https://cla.microsoft.com.

When you submit a pull request, a CLA-bot will automatically determine whether you need to provide a CLA and decorate the PR appropriately (e.g., label, comment). Simply follow the instructions provided by the bot. You will only need to do this once across all repos using our CLA.

This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact [email protected] with any additional questions or comments.

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

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