Update README.md

README.md

@@ -34,12 +34,13 @@ pipeline_tag: "structured-data-classification"
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 #TensorFlow Decision Forests for structured data classification
- <br />
-#### Use TF's Gradient Boosted Trees model in binary classification of structured data
+<br />
+Use TF's Gradient Boosted Trees model in binary classification of structured data
+<br />
 * Build a decision forests model by specifying the input feature usage.
 * Implement a custom Binary Target encoder as a Keras Preprocessing layer to encode the categorical features with respect to their target value co-occurrences, and then use the encoded features to build a decision forests model.
 <br />
-###The example uses Tensorflow 7.0 or higher. It uses the US Census Income Dataset containing approximately 300k instances with 41 numerical and categorical variables. This is a binary classification problem to determine whether a person makes over 50k a year. 
+The example uses Tensorflow 7.0 or higher. It uses the US Census Income Dataset containing approximately 300k instances with 41 numerical and categorical variables. This is a binary classification problem to determine whether a person makes over 50k a year. 
 <br />
-###Author: Khalid Salama   
-###Adapted implementation: Tannia Dubon
+Author: Khalid Salama   
+Adapted implementation: Tannia Dubon