| 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 |
12/27/2021 |
seodec18 |
The Azure Machine Learning Notebooks repository includes the latest Azure Machine Learning Python SDK samples. These Jupyter notebooks are designed to help you explore the SDK and serve as models for your own machine learning projects. In this repository, you'll find tutorial notebooks in the tutorials folder and feature-specific notebooks in the how-to-use-azureml folder.
Also explore the community-driven repository of AzureML-Examples. This repository includes notebooks and CLI (v2) examples. For information on the various example types, see the readme.
This article shows you how to access the repositories from the following environments:
The easiest way to get started with the samples is to complete the Quickstart: Get started with Azure Machine Learning. 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 add the community-driven repository, use a compute instance terminal. In the terminal window, clone the repository:
git clone https://github.com/Azure/azureml-examples.git --depth 1If you'd like to bring your own notebook server for local development, follow these steps on your computer.
[!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 MachineLearningNotebooks and AzureML-Examples repositories to discover what Azure Machine Learning can do.
For more GitHub sample projects and examples, see these repos:
Try these tutorials: