MachineLearningSamples-TDSPUCIAdultIncome

KO | EN

gitlite — search

#react #ai #llm #go #machine-learning #rust #deep-learning #linux #docker #macos #vue #mcp #ios #openai

MachineLearningSamples-TDSPUCIAdultIncome

(★ 11)

MachineLearningSamples-TDSPUCIAdultIncome

MachineLearningSamples-TDSPUCIAdultIncome 최신버젼 다운로드

최종 버전 다운로드 (.zip)

// repository documentation

Was this content helpful?

★ 0 (0 ratings)

# Income classification with Team Data Science Process project

> **NOTE** This content is no longer maintained. Visit the [Azure Machine Learning Notebook](https://github.com/Azure/MachineLearningNotebooks) project for sample Jupyter notebooks for ML and deep learning with Azure Machine Learning.

## Link to the Microsoft DOCS site

The detailed documentation for this real world scenario is below:

[https://docs.microsoft.com/azure/machine-learning/preview/scenario-tdsp-classifying-us-incomes](https://docs.microsoft.com/en-us/azure/machine-learning/preview/scenario-tdsp-classifying-us-incomes)

## Link to the Gallery GitHub repository

The public GitHub repository for this real world scenario contains all the code samples:
[https://github.com/Azure/MachineLearningSamples-TDSPUCIAdultIncome](https://github.com/Azure/MachineLearningSamples-TDSPUCIAdultIncome)

## Overview

How to use the Team Data Science Process template to create a project in Azure Machine Learning that classifies US incomes.

For an actual project, the primary Readme.md in the repository would contain an executive summary of the project. In this case, that is located in Microsoft [documentation site](https://docs.microsoft.com/en-us/azure/machine-learning/preview/scenario-tdsp-classifying-us-incomes). It is also available in [project-summary.md](project-summary.md).

## Key components needed to run this scenario
* An Azure [subscription](https://azure.microsoft.com). You can get a [free subscription](https://azure.microsoft.com/free/?v=17.16&WT.srch=1&WT.mc_id=AID559320_SEM_cZGgGOIg) to execute this sample also.
* An [Azure Data Science Virtual Machine (DSVM) Windows Server 2016](https://azuremarketplace.microsoft.com/marketplace/apps/microsoft-ads.windows-data-science-vm), (VM Size: [DS3_V2](https://docs.microsoft.com/azure/virtual-machines/windows/sizes), with 4 virtual CPUs and 14-Gb RAM). Although tested on an Azure DSVM, it is likely to work on any Windows 10 machine.
* This example could be run on local compute context.

## Contributing

This project welcomes contributions and suggestions.  Most contributions require you to agree to a
Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us
the rights to use your contribution. For details, visit https://cla.microsoft.com.

When you submit a pull request, a CLA-bot will automatically determine whether you need to provide
a CLA and decorate the PR appropriately (for example, label, comment). Simply follow the instructions
provided by the bot. You will only need to do this once across all repos using our CLA.

This project has adopted the [Microsoft Open Source Code of Conduct](https://opensource.microsoft.com/codeofconduct/).
For more information, see the [Code of Conduct FAQ](https://opensource.microsoft.com/codeofconduct/faq/) or
contact [opencode@microsoft.com](mailto:opencode@microsoft.com) with any additional questions or comments.

## Data/Telemetry ##

UCI Income classification project collects usage data and sends it to Microsoft to help improve our products and services. Read our [privacy statement](http://go.microsoft.com/fwlink/?LinkId=521839) to learn more.

MachineLearningSamples-TDSPUCIAdultIncome

MachineLearningSamples-TDSPUCIAdultIncome 최신버젼 다운로드

오늘의 추천 프로젝트

Was this content helpful?

Recent Feedback

MachineLearningSamples-TDSPUCIAdultIncome

MachineLearningSamples-TDSPUCIAdultIncome 최신버젼 다운로드

오늘의 추천 프로젝트

Was this content helpful?

Recent Feedback

Download README