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Tensor-GOT-Polymer/index.html

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@@ -86,7 +86,7 @@ <h2 class="checklist">The Goal</h2>
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duration="10">
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<p>
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<h2>The data powering the CodeLab</h2>
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<img src="1_Comic.png" alt="TensorFlow JohnSnow & Sam correlation">
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<img src="1_Comic.png" alt="TensorFlow JohnSnow & Sam correlation" width = "300">
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<p>
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The GoT dataset was compiled from a <a href="https://www.kaggle.com/" target="_blank" rel="noopener">kaggle</a> dataset and transformed to offer more information using Game of Thrones wiki .
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Before going into a deeper data analysis, we would like to offer a view about the power of search with Answer the public tool. Using this visualization about the main five W some questions could be underlined about game of Thrones using the searches in US and UK </p>
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<h2>"Once you are very popular, there 're seems to be a linear incremental pattern of Death Relationship</h2>
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<p>As we dig into the data, so do we within the question we actually want to solve...How is popularity related to Death in Game of Thrones?. </p>
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<img src="2_Comic.png" alt="you know nothing sql">
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<img src="2_Comic.png" alt="you know nothing sql" width = "200">
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<p>This first approach has been great ! Now let´s move into installing Tensorflow and have a deeper understanding with wide+deep learning model to gain more knowledge . </p>
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</google-codelab-step>
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<!-- STEP 3 -->

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