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1.9 KiB
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# Data Science project using Azure ML SDK
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## Instructions
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We explored how to use the Azure ML platform to train, deploy, and consume a model with the Azure ML SDK. Now, find some data that you can use to train another model, deploy it, and consume it. You can search for datasets on [Kaggle](https://kaggle.com) and [Azure Open Datasets](https://azure.microsoft.com/services/open-datasets/catalog?WT.mc_id=academic-77958-bethanycheum&ocid=AID3041109).
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## Rubric
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| Exemplary | Adequate | Needs Improvement |
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|-----------|----------|-------------------|
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|When configuring AutoML, you referred to the SDK documentation to explore the parameters you could use. You trained a dataset using AutoML with the Azure ML SDK, reviewed the model explanations, deployed the best model, and successfully consumed it using the Azure ML SDK. | You trained a dataset using AutoML with the Azure ML SDK, reviewed the model explanations, deployed the best model, and successfully consumed it using the Azure ML SDK. | You trained a dataset using AutoML with the Azure ML SDK, deployed the best model, and successfully consumed it using the Azure ML SDK. |
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---
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**Disclaimer**:
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This document has been translated using the AI translation service [Co-op Translator](https://github.com/Azure/co-op-translator). While we aim for accuracy, please note that automated translations may include errors or inaccuracies. The original document in its native language should be regarded as the authoritative source. For critical information, professional human translation is advised. We are not responsible for any misunderstandings or misinterpretations resulting from the use of this translation. |