Update README.md

README.md

@@ -34,13 +34,12 @@ 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. 
-<br />
+* 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.<br /> 
+
 Author: Khalid Salama   
 Adapted implementation: Tannia Dubon