Update Global Readme file for the newly added samples (dotnet#245)

Readme.md samples links updated to show the latest samples

Author: prathyusha12345

README.md

@@ -57,6 +57,8 @@ The official ML.NET samples are divided in multiple categories depending on the
       <h4>Issues classification &nbsp;&nbsp;&nbsp;
       <a href="samples/csharp/end-to-end-apps/MulticlassClassification-GitHubLabeler">C#</a> &nbsp;&nbsp;&nbsp;<img src="images/app-type-e2e.png" alt="End-to-end app icon"></h4>
       <h4>Iris flowers classification &nbsp;&nbsp;&nbsp;<a href="samples/csharp/getting-started/MulticlassClassification_Iris">C#</a> &nbsp; &nbsp;<a href="samples/fsharp/getting-started/MulticlassClassification_Iris">F#</a> &nbsp;&nbsp;&nbsp;<img src="images/app-type-getting-started.png" alt="Getting started icon"></h4>
+      <h4>Heart Disease &nbsp;&nbsp;&nbsp;<a href="samples/csharp/getting-started/MulticlassClassification_HeartDisease">C#</a> &nbsp; &nbsp;&nbsp;<img src="images/app-type-getting-started.png" alt="Getting started icon"></h4>
+      <h4>MNIST &nbsp;&nbsp;&nbsp;<a href="samples/csharp/getting-started/MulticlassClassification_mnist">C#</a> &nbsp; &nbsp;&nbsp;<img src="images/app-type-getting-started.png" alt="Getting started icon"></h4>
   </td>
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@@ -140,12 +142,13 @@ The official ML.NET samples are divided in multiple categories depending on the
   Deep learning is a subset of machine learning. Deep learning architectures such as deep neural networks, are usually applied to fields such as computer vision (object detection, image classification, style transfer), speech recognition, natural language processing and audio recognition. 
   </td>
   <td>
-      <h4>TensorFlow with ML.NET &nbsp;&nbsp;&nbsp;<a href="samples/csharp/getting-started/DeepLearning_ImageClassification_TensorFlow">C#</a> &nbsp; &nbsp; <a href="samples/fsharp/getting-started/DeepLearning_ImageClassification_TensorFlow">F#</a> &nbsp;&nbsp;&nbsp;<img src="images/app-type-getting-started.png" alt="Getting started icon"></h4>
+      <h4>TensorFlow with ML.NET(Scorer) &nbsp;&nbsp;&nbsp;<a href="samples/csharp/getting-started/DeepLearning_ImageClassification_TensorFlow">C#</a> &nbsp; &nbsp; <a href="samples/fsharp/getting-started/DeepLearning_ImageClassification_TensorFlow">F#</a> &nbsp;&nbsp;&nbsp;<img src="images/app-type-getting-started.png" alt="Getting started icon"></h4>
+      <h4>TensorFlow with ML.NET(Estimator) &nbsp;&nbsp;&nbsp;<a href="samples/csharp/getting-started/DeepLearning_TensorFlowEstimator">C#</a> &nbsp; &nbsp; <a href="samples/fsharp/getting-started/DeepLearning_TensorFlowEstimator">F#</a> &nbsp;&nbsp;&nbsp;<img src="images/app-type-getting-started.png" alt="Getting started icon"></h4>
       <h4>Object detection Coming soon &nbsp;&nbsp;&nbsp;<img src="images/app-type-getting-started.png" alt="Getting started icon"></h4>
       <h4>Style Transfer  Coming soon &nbsp;&nbsp;&nbsp;<img src="images/app-type-e2e.png" alt="End-to-end app icon"></h4>
       <h4>ONNX with ML.NET - Coming soon &nbsp;&nbsp;&nbsp;<img src="images/app-type-getting-started.png" alt="Getting started icon"></h4>
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- </tr>
+ </tr> 
  </table>
 
 **NuGet feed configuration:** Usually you just need to use the regular NuGet feed (https://api.nuget.org/v3/index.json), however, during a few days before releasing a minor release (such as 0.8, 0.9 etc.) we'll be using Preview NuGet packages available in MyGet (such as 0.8.0-preview-27128-1), not available in the regular NuGet feed.