In this video, endjineer Ed Freeman performs a "worked example" customer propensity experiment using Azure Machine Learning Studio.
"Our hypothetical situation is based on an e-commerce business that is interested in changing its business processes to prioritise customers that are more likely to purchase their new service, based on the information they provide at various stages throughout the purchasing workflow."
The worked example covers:
- What is Customer Propensity? 0:20 - What are our Classification Problems? 0:35 - The Purpose of Walkthrough 1:02 - General Method 1:41 - What is our example? 2:45 - What is our Hypothesis? 3:05 - Interpretation of results 3:32 - Desired Metric - what is AUC? 4:02 - Worked Example in Azure Machine Learning Studio 4:26 - What did we conclude? 36:35
You can sign up for your free Azure Machine Learning Studio account (no credit card required) via this link. https://studio.azureml.net/ - it's very easy to get started.