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MicrosoftDocs/mslearn-aml-labs: Azure Machine Learning Lab Notebooks

原作者: [db:作者] 来自: 网络 收藏 邀请

开源软件名称(OpenSource Name):

MicrosoftDocs/mslearn-aml-labs

开源软件地址(OpenSource Url):

https://github.com/MicrosoftDocs/mslearn-aml-labs

开源编程语言(OpenSource Language):

Jupyter Notebook 100.0%

开源软件介绍(OpenSource Introduction):

page_type languages products description urlFragment
sample
python
azureml-sdk
Hands-on labs for content on Microsoft learn

Microsoft Learn - Azure Machine Learning Labs

Important Notice!

This repo has been replaced by a new repo. We're making this change to:

  • Consolidate the labs used in the DP-100 instructor-led course and the self-paced exercises in the equivalent online modules on Microsoft Learn.
  • Update labs to reflect recent changes in the Azure Machine Learning service and SDK.
  • Add new labs on topics related to responsible machine learning.

This repository contains the files necessary for hands-on labs to support content on Microsoft Learn.

Contents

File/folder Description
data Sample data for use in the labs.
labdocs The lab exercise instructions.
nn-xxxx_xx.ipynb Lab code notebooks
.gitignore Define what to ignore at commit time
CHANGELOG.md List of changes to the labs
README.md This README file.
LICENSE The license for this repo
SECURITY.md Security guidance

Prerequisites

Azure Machine Learning (Azure ML) is a Microsoft Azure-based service for running data science and machine learning workloads at scale in the cloud. To use Azure Machine Learning, you will need an Azure subscription. If you do not already have one, you can sign up for a free trial at https://azure.microsoft.com.

Setup

You must follow the instructions in the first lab (Getting Started with Azure Machine Learning) to create an Azure Machine Learning workspace and set up a compute instance to work on before completing any subsequent labs in this repository.

Completing the Labs

Complete the labs in order by following the links on the Lab Exercises page.

Before completing each lab, we recommend you complete the associated training on Microsoft Learn.




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