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Machinelearningnotebooks

A public repository of Jupyter notebooks demonstrating machine-learning and deep-learning workflows with the Azure Machine Learning Python SDK v1.

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

Machinelearningnotebooks — OpenViST project profile in AI Developer Tools & SDKs.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use it when you need notebook-form examples for Azure Machine Learning SDK v1 workflows and can work with the required Azure ML packages.

Who it is for

  • Developers learning or exploring Azure Machine Learning SDK workflows through notebook examples.
  • Users working with the repository's v1 SDK samples.

Documented uses

  • Study notebook examples of training machine-learning models with Azure ML.
  • Explore deep-learning example notebooks.
  • Review Azure ML SDK workflows for model deployment.
Before you choose

Requirements & limits

The repository is public and identifies an MIT license.

  • The README recommends Azure Machine Learning Compute Instances for running the notebooks without additional setup.
  • Other development environments can be used when the correct azureml packages are installed.
  • The repository is deprecated for SDK v1 and will not be monitored or updated; the README directs users to the v2 samples repository for up-to-date examples.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Prepare a development environment for the notebooks

Set up the documented Python package prerequisite for using the Azure ML SDK notebooks outside a Compute Instance.

Before you start

  • A development environment capable of installing Python packages.

Steps

  1. Install the azureml-core package.

  2. Install additional azureml packages as needed for the notebook, such as the documented MLflow, dataset, AutoML or pipeline packages.

Expected outcome

The environment has the documented core Azure ML SDK package and any additional packages required by the selected notebook.

Guide limitations

  • The README does not specify package versions.
  • Additional packages depend on the notebook being used.
  • The repository's examples target the deprecated v1 SDK and will not be monitored or updated.
Documentation 1 ↗
Evidence and transparency

Sources & review

Official repository ↗
Source record details
Source availability
Active
Sources checked
14 October 2026
Original website title
Azure/MachineLearningNotebooks · Official homepage title · retained in its source language
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Related options

Azure Machine Learning v2 samples — The repository README directs users to this collection for current examples covering model building, training and deployment with Azure ML's newer features.