TODOS

Author: SoyGema

Tensor-GOT-Polymer/index.html

@@ -86,7 +86,8 @@ <h2 class="checklist">The Goal</h2>
       duration="10">
       <p>
       <h2>The data powering the CodeLab</h2>
-      <img src="1_Comic.png" alt="TensorFlow JohnSnow & Sam correlation" width = "300"> 
+      ## TO-DO: EDIT SIZE
+      <img src="1_Comic.png" alt="TensorFlow JohnSnow & Sam correlation"  > 
       <p>
       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 . 
       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> 
@@ -130,7 +131,8 @@ <h2>Data analysis</h2>
 
      <h2>"Once you are very popular, there 're seems to be a linear incremental pattern of Death Relationship</h2>
      <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>
-     <img src="2_Comic.png" alt="you know nothing sql" style="width:252px;height:autopx;margin-left:auto;margin-right:auto;display:block">
+    ##TO-DO : EDIT STYLE
+      <img src="2_Comic.png" alt="you know nothing sql" style="width:252px;height:autopx;margin-left:auto;margin-right:auto;display:block">
      <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>
      </google-codelab-step>
     <!-- STEP 3 -->