54 строки
3.4 KiB
Markdown
54 строки
3.4 KiB
Markdown
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---
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page_type: sample
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languages:
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- python
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products:
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- azure-machine-learning
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description: Top-level directory for official Azure Machine Learning Python SDK v2 tutorials.
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---
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# Azure Machine Learning SDK (v2) end to end tutorials
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[](https://github.com/psf/black)
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[](../LICENSE)
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## Prerequisites
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1. An Azure subscription. If you don't have an Azure subscription, [create a free account](https://aka.ms/AMLFree) before you begin.
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## Getting started
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1. Install the SDK v2
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```terminal
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pip install azure-ai-ml
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```
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## Clone examples repository
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```terminal
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git clone https://github.com/Azure/azureml-examples
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cd azureml-examples/tutorials
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```
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## Examples available
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Test Status is for branch - **_main_**
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|Title|Notebook|Description|Status|
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|--|--|--|--|
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|azureml-getting-started|[azureml-getting-started-studio](azureml-getting-started/azureml-getting-started-studio.ipynb)|A quickstart tutorial to train and deploy an image classification model on Azure Machine Learning studio|[](https://github.com/Azure/azureml-examples/actions/workflows/tutorials-azureml-getting-started-azureml-getting-started-studio.yml)|
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|azureml-in-a-day|[azureml-in-a-day](azureml-in-a-day/azureml-in-a-day.ipynb)|Learn how a data scientist uses Azure Machine Learning (Azure ML) to train a model, then use the model for prediction. This tutorial will help you become familiar with the core concepts of Azure ML and their most common usage.|[](https://github.com/Azure/azureml-examples/actions/workflows/tutorials-azureml-in-a-day-azureml-in-a-day.yml)|
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|e2e-distributed-pytorch-image|[e2e-object-classification-distributed-pytorch](e2e-distributed-pytorch-image/e2e-object-classification-distributed-pytorch.ipynb)|Prepare data, test and run a multi-node multi-gpu pytorch job. Use mlflow to analyze your metrics|[](https://github.com/Azure/azureml-examples/actions/workflows/tutorials-e2e-distributed-pytorch-image-e2e-object-classification-distributed-pytorch.yml)|
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|e2e-ds-experience|[e2e-ml-workflow](e2e-ds-experience/e2e-ml-workflow.ipynb)|Create production ML pipelines with Python SDK v2 in a Jupyter notebook|[](https://github.com/Azure/azureml-examples/actions/workflows/tutorials-e2e-ds-experience-e2e-ml-workflow.yml)|
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## Contributing
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We welcome contributions and suggestions! Please see the [contributing guidelines](../CONTRIBUTING.mdCONTRIBUTING.md) for details.
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## Code of Conduct
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This project has adopted the [Microsoft Open Source Code of Conduct](https://opensource.microsoft.com/codeofconduct/). Please see the [code of conduct](../CODE_OF_CONDUCT.md) for details.
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## Reference
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* [Documentation](https://docs.microsoft.com/azure/machine-learning)
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