Objective of the analysis is to find a potential way to detect or score loans pro actively using a machine learning model.
The analysis done in R can be found here:
A small Shiny application can also be seen below where one can select different histograms of the data.
As we can see from the published analysis, we could not find any useful predictors which do not already indicate that the loan is deliquent. We need to find predictors that will allow us to predict before this occurs,