Simple video example of how Azure ML (Machine Learning) classification model can be used to predict whether a bank customer is likely to have good or bad credit.
I am just starting to learn in this area, but I believe the key is a good training input data set.
At work, perhaps this can be used to analyze the first 10 to 15 minutes of a sales call to gauge intent or likely-hood of a purchase.
This is courtesy of Microsoft’s Edx.org Data Science Series.
Here is a link to the portfolio where I ran the same test: