This hands-on guide explains how to use "Data Manager" to enrich your data semantically with additional attributes to produce stronger predictive models.
Based around transactional data from a Bank, you identify customers likely to sign up for a credit card in the following quarter. In a number of iterations you enhance the dataset and improve the model gradually.
Please note that this guide is giving a high-level introductory overview and only shows a small fraction of the available functionality.
Download from GitHub
Happy Predicting!
Updates:
1. February 2016: Added .mdf file for SQL Server as alternative data source for the tutorial.