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48 lines
2.6 KiB
Markdown
48 lines
2.6 KiB
Markdown
Get the full documentation for Azure Machine Learning service at:
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https://docs.microsoft.com/azure/machine-learning/service/
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<br>
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# Sample notebooks for Azure Machine Learning service
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To run the notebooks in this repository use one of these methods:
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## Use Azure Notebooks - Jupyter based notebooks in the Azure cloud
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1. [](https://aka.ms/aml-clone-azure-notebooks)
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[Import sample notebooks ](https://aka.ms/aml-clone-azure-notebooks) into Azure Notebooks.
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1. Follow the instructions in the [00.configuration](00.configuration.ipynb) notebook to create and connect to a workspace.
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1. Open one of the sample notebooks.
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**Make sure the Azure Notebook kernel is set to `Python 3.6`** when you open a notebook.
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## **Use your own notebook server**
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1. Setup a Jupyter Notebook server and [install the Azure Machine Learning SDK](https://docs.microsoft.com/en-us/azure/machine-learning/service/quickstart-create-workspace-with-python).
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1. Clone [this repository](https://aka.ms/aml-notebooks).
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1. You may need to install other packages for specific notebooks
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1. Start your notebook server.
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1. Follow the instructions in the [00.configuration](00.configuration.ipynb) notebook to create and connect to a workspace.
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1. Open one of the sample notebooks.
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> Note: **Looking for automated machine learning samples?**
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> For your convenience, you can use an installation script instead of the steps below for the automated ML notebooks. Go to the [automl folder README](automl/README.md) and follow the instructions. The script installs all packages needed for notebooks in that folder.
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# Contributing
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This project welcomes contributions and suggestions. Most contributions require you to agree to a
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Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us
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the rights to use your contribution. For details, visit https://cla.microsoft.com.
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When you submit a pull request, a CLA-bot will automatically determine whether you need to provide
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a CLA and decorate the PR appropriately (e.g., label, comment). Simply follow the instructions
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provided by the bot. You will only need to do this once across all repos using our CLA.
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This project has adopted the [Microsoft Open Source Code of Conduct](https://opensource.microsoft.com/codeofconduct/).
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For more information see the [Code of Conduct FAQ](https://opensource.microsoft.com/codeofconduct/faq/) or
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contact [opencode@microsoft.com](mailto:opencode@microsoft.com) with any additional questions or comments.
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