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updated readme for support Jupyter (#2336)
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to approve with the updated notebook supporting jupyter
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merla18 authored and sirtorry committed Sep 5, 2019
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## Solution Walkthrough
The solution has been developed using [Google Colab Notebook](https://colab.research.google.com/notebooks/welcome.ipynb).
The solution has been developed using [Google Colab Notebook](https://colab.research.google.com/notebooks/welcome.ipynb) or in Jupyter (see [AI Platform Notebooks](https://cloud.google.com/ai-platform-notebooks/)).



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### 1. Set up
The first step in this process was to set up the project. We referred to the [AutoML tables documentation](https://cloud.google.com/automl-tables/docs/) and take the following steps:
The first step in this process was to set up the project. We referred to the [AutoML tables documentation](https://cloud.google.com/automl-tables/docs/) and take the following steps if run in Colab:
* Create a Google Cloud Platform (GCP) project
* Enable billing
* Enable the AutoML API
* Enable the AutoML Tables API
* Create a service account, grant required permissions, and download the service account private key.

**If you are using AI Platform Notebooks**, your environment is already authenticated

### 2. Initialize and authenticate

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### 7. Batch Prediction


There is a validation csv file provided with a few rows of data not used in the training or testing for you to run a batch prediction with. The csv is linked in the text of the colab as well as [here](https://storage.cloud.google.com/cloud-ml-data/automl-tables/notebooks/census_income_batch_prediction_input.csv) .
There is a validation csv file provided with a few rows of data not used in the training or testing for you to run a batch prediction with. The csv is linked in the text of the colab as well as [here](https://storage.cloud.google.com/cloud-ml-data/automl-tables/notebooks/census_income_batch_prediction_input.csv) .

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