Welcome to Machine Learning Studio (classic)
Machine Learning Studio (classic) will be retired by 31 August 2024 – transition to Azure Machine Learning
Azure Machine Learning now provides rich, consolidated capabilities for model training and deploying, we'll retire the older Machine Learning Studio (classic) service on 31 August 2024. Please transition to using Azure Machine Learning by that date. From now through 31 August 2024, you can continue to use the existing Machine Learning Studio (classic). Beginning 1 December 2021, you won't be able to create new Machine Learning Studio (classic) resources.
Simplify and accelerate AI for the entire data science team with Azure Machine Learning designer
At Microsoft Ignite, we announced the general availability of Azure Machine Learning designer, the drag-and-drop workflow capability in Azure Machine Learning studio which simplifies and accelerates the process of building, testing, and deploying machine learning models for the entire data science team, from beginners to professionals. We launched the preview in November 2019, and we have been excited with the strong customer interest. We listened to our customers and appreciated all the feedback. Your responses helped us reach this milestone. Thank you.

Use the ML Studio (classic) to build and publish your experiments

Module Reference

Complete reference of all modules you can insert into your experiment and scoring workflow

Additional Resources

Ask a question or check out video tutorials, blogs, and whitepapers from our experts

Getting Started

Take a quick tour of the ML Studio (classic) features.

Getting and Saving Data

Get, upload, and save data to your workspace.

Preprocessing Data

Clean, transform, and normalize your data.

Predictive Modeling

Learn the steps required for building, scoring and evaluating a predictive model.

Publish a Predictive Model

Publish and stage your predictive model as an Azure-based service.