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Getting Started

Welcome to Jupyter Notebooks in Azure Machine Learning. For more information go to How to Use Jupyter Notebooks

Go to Notebooks tab and select the sample Notebook to view it. To edit and run cells, click Launch Notebook Server. Select a kernel, and wait for it to start to run cells.

Note: Do not select Python 3 kernel. Instead, select one of the kernels named after your project.

You can also launch Notebook server by opening File, Open Command Prompt, and entering az ml notebook start.

You can explore past runs of Notebook cells using the Run History tab. Click the gear icon next to the list of runs, and select Cell as one of colums to find specific cell runs.

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Project Template for Jupyter Notebooks in Azure Machine Learning Workbench

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