Income classification with Team Data Science Process project
NOTE This content is no longer maintained. Visit the Azure Machine Learning Notebook 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:
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
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. It is also available in project-summary.md.
Key components needed to run this scenario
- An Azure subscription. You can get a free subscription to execute this sample also.
- An Azure Data Science Virtual Machine (DSVM) Windows Server 2016, (VM Size: DS3_V2, 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.
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