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Explore Azure Machine Learning with Jupyter Notebooks

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APPLIES TO: Python SDK azure-ai-ml v2 (current)

The AzureML-Examples repository includes the latest (v2) Azure Machine Learning Python CLI and SDK samples. For information on the various example types, see the readme.

This article shows you how to access the repository from the following environments:

  • Azure Machine Learning compute instance
  • Your own compute resource
  • Data Science Virtual Machine

The easiest way to get started with the samples is to complete the Create resources to get started. Once completed, you'll have a dedicated notebook server pre-loaded with the SDK and the Azure Machine Learning Notebooks repository. No downloads or installation necessary.

To view example notebooks:

  1. Sign in to studio and select your workspace if necessary.
  2. Select Notebooks.
  3. Select the Samples tab. Use the SDK v2 folder for examples using Python SDK v2.

Option 2: Access on your own notebook server

If you'd like to bring your own notebook server for local development, follow these steps on your computer.

  1. Use the instructions at Azure Machine Learning SDK to install the Azure Machine Learning SDK (v2) for Python

  2. Create an Azure Machine Learning workspace.

  3. Write a configuration file file (aml_config/config.json).

  4. Clone the AzureML-Examples repository.

    git clone https://github.com/Azure/azureml-examples.git --depth 1

  5. Start the notebook server from the directory containing your clone.

    jupyter notebook

These instructions install the base SDK packages necessary for the quickstart and tutorial notebooks. Other sample notebooks may require you to install extra components. For more information, see Install the Azure Machine Learning SDK for Python.

Option 3: Access on a DSVM

The Data Science Virtual Machine (DSVM) is a customized VM image built specifically for doing data science. If you create a DSVM, the SDK and notebook server are installed and configured for you. However, you'll still need to create a workspace and clone the sample repository.

  1. Create an Azure Machine Learning workspace.

  2. Download a workspace configuration file:

    Download config.json

  3. From the directory where you added the configuration file, clone the the AzureML-Examples repository.

    git clone https://github.com/Azure/azureml-examples.git --depth 1

  4. Start the notebook server from the directory, which now contains the clone and the config file.

    jupyter notebook

Next steps

Explore the AzureML-Examples repository to discover what Azure Machine Learning can do.

For more examples of MLOps, see https://github.com/Azure/mlops-v2.

Try these tutorials: