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update pre-requisite instruction
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README.md

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@@ -41,6 +41,6 @@ The following steps will guide you to setup code and data in your Azure Notebook
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1. Once you are logged in to Azure Notebooks, go to '***Libraries***' on the top left, and then click '**_+ New Library_**'.
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2. In the pop out window, select '***From GitHub***' tab, and in '***GitHub repository***' type in: '***Azure/RNNForTimeSeriesForecasting***'. Then type in any name you prefer for '***Library Name***' and '***Library ID***'. Once you have filled in all boxes, click '***Import***'. Wait till you see a list of files cloned from git repository to your library.
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3. Now let's set up your notebook environment. Click on '***Settings***'. In the pop-out window choose '***Environment***' tab, then select '**_+ Add_**'. Click on the drop-down menu '***Select Operation***' and choose '***Requirements.txt***'. For '***Select Target File***' choose '***Requirements.txt***'. For '***Select Python Version***' choose '***Python Version 3***'. Lastly click on '***Save***'.
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4. When you are back in your library, click on '***0_data_setup.ipynb***'. You may see this massage pop up '**_Waiting for your container to finish being prepared…_**'. It will take about 2 minutes for the Azure Notebooks to set up your environment, the first time you open a notebook in your library. Please wait till this massage window disappears before you move to the next step.
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5. Before you run the notebook, please make sure you see '***Python 3***' kernel on the top right. If not, you can select '***Kernel***', then '***Change kernel***' to make changes.
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4. When you are back to your library, click on '***0_data_setup.ipynb***'. It will take about 2 minutes for the Azure Notebooks to set up your environment. Please wait for 2 mintues before you run the notebook.
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5. Make sure you see '***Python 3***' kernel on the top right. If not, you can select '***Kernel***', then '***Change kernel***' to make changes.
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6. Run each cell in the notebook by click '***Run***' on top. This notebook will download sample data to your environment and visualize the data. Wait and make sure you can see all the visualizations. Now you are all set! (*Note: If you see errors return from the first code cell, it is very likely that the environment preparation is not finished yet. Please wait for 2 minutes and then go to '***Kernel***', choose '***Restart and Clear Output***' and rerun the cells.*)

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