Loan Granting Training Experiment

June 7, 2017
This training experiment was created as learning material for the article series on Azure ML at developer.telerik.com
This training experiment was created as learning material for the article series on Azure ML at [developer.telerik.com][1]. In this experiment Loan data is used to predict Loan behavior. This model could be used in an application to pre-approve a loan application based on the applicants data. The experiment shows basic usage of data manipulation with the Apply SQL Transformation, Convert to Dataset, and Clean Missing Data modules. The Two-Class Boosted Decision Tree is used to train the model and make predictions from the cleaned data set. [1]: http://developer.telerik.com/topics/machine-learning/machine-learning-developers/