updated README

added blogpost link

README.md

@@ -2,7 +2,9 @@ tf.Transform example for building digital twin
 ====================
 
 This repository is designed to quickly get you started with Machine Learning projects on Google Cloud Platform using tf.Transform.
-This code repository is linked to [this blogpost]([https://www.google.com).
+This code repository is linked to [this Google Cloud blogpost](https://cloud.google.com/blog/products/ai-machine-learning/pre-processing-tensorflow-pipelines-tftransform-google-cloud) 
+
+For more boilerplate examples, check: https://github.com/Fematich/mlengine-boilerplate
 
 ### Functionalities
 - preprocessing pipeline using tf.Transform (with Apache Beam) that runs on Cloud Dataflow or locally
@@ -64,4 +66,4 @@ python predict.py
 
 
 <a name="myfootnote1">1</a>: This code requires both Tensorflow and Apache Beam. Currently Tensorflow on Windows only supports Python 3.5.x and 
-and Apache Beam doesn't support Python 3.x yet.
+and Apache Beam doesn't support Python 3.x yet.