Data-Science-For-Beginners/translations/en/5-Data-Science-In-Cloud/19-Azure/assignment.md

Data Science project using Azure ML SDK

Instructions

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 and Azure Open Datasets.

Rubric

Exemplary	Adequate	Needs Improvement
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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