| title | titleSuffix | description | services | ms.service | ms.subservice | ms.topic | author | ms.author | ms.reviewer | ms.date | ms.custom |
|---|---|---|---|---|---|---|---|---|---|---|---|
Example Jupyter Notebooks |
Azure Machine Learning |
Learn how to find and use the Juypter Notebooks designed to help you explore the SDK and serve as models for your own machine learning projects. |
machine-learning |
machine-learning |
core |
sample |
sdgilley |
sgilley |
sgilley |
03/05/2020 |
seodec18 |
Note
A community-driven repository of examples can be found at https://github.com/Azure/azureml-examples.
The example Azure Machine Learning Notebooks repository includes the latest Azure Machine Learning Python SDK samples. These Juypter notebooks are designed to help you explore the SDK and serve as models for your own machine learning projects.
This article shows you how to access the repository from the following environments:
Note
Once you've cloned the repository, you'll find tutorial notebooks in the tutorials folder and feature-specific notebooks in the how-to-use-azureml folder.
The easiest way to get started with the samples is to complete the Tutorial: Setup environment and workspace. Once completed, you'll have a dedicated notebook server pre-loaded with the SDK and the sample repository. No downloads or installation necessary.
If you'd like to bring your own notebook server for local development, follow these steps:
[!INCLUDE aml-your-server]
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.
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.
[!INCLUDE aml-dsvm-server]
Explore the sample notebooks to discover what Azure Machine Learning can do.
For more GitHub sample projects and examples, see these repos:
Try these tutorials: