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## Prerequisites
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1. [Jupyter Notebook](https://test-jupyter.readthedocs.io/en/latest/install.html) or [Google Colab](https://colab.research.google.com/)
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2. Kaggle API Token ([Generate]((https://github.com/Kaggle/kaggle-api#api-credentials)))
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2. Kaggle API Token [Generate](https://github.com/Kaggle/kaggle-api#api-credentials)
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3. [Python](https://www.python.org/downloads/) version 3.6 or above
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4. Latest version of Tensorflow 2.5 (or you can update again by rerunning .ipynb and updating models)
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## How to use
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1. [Create `kaggle.json` from Kaggle](https://github.com/Kaggle/kaggle-api#api-credentials)
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2. Go to your Kaggle profile then download your Kaggle API.
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- My Account --> Look for API section --> Create New API Token
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- My Account Look for API section Create New API Token
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3. Open `.ipynb` with Google Colaboratory using `open in colab`
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4. "Save a copy in Drive" to run and edit with your account. Click `File` > `Save a copy in Drive` in your Google Colaboratory.
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5. Upload your `kaggle.json` if asked to upload it.

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