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 # IrisData
 ## Iris Data Example Python Numpy
-### https://blogs.msdn.microsoft.com/uk_faculty_connection/2017/07/04/how-to-implement-the-backpropagation-using-python-and-numpy/
+### https://blogs.msdn.microsoft.com/uk_faculty_connection/2017/07/04/how-to-implement-the-backpropagation-using-python-and-numpy/?WT.mc_id=academic-0000-leestott
 
-### Azure Jupyter Notebook Demo Interactive Experiment https://notebooks.azure.com/n/ln6ojzL3dZY/notebooks/IrisDataDemo.ipynb
+### Azure Jupyter Notebook Demo Interactive Experiment https://notebooks.azure.com/n/ln6ojzL3dZY/notebooks/IrisDataDemo.ipynb?WT.mc_id=academic-0000-leestott
 
 The Iris Data Set has over 150 item records. Each item has four numeric predictor variables (often called features): sepal length and width, and petal length and width, followed by the species ("setosa," "versicolor" or "virginica").