/Customer-Default-Identification-Report

Developing a model that can be used to predict the risk of customer default, in particular: How does the probability of default payment vary by categories of different demographic variables? Which variables are the strongest predictors of default payment?

Primary LanguageJupyter Notebook

Customer-Default-Identification-Report

The goal of the analysis: Developing a model that can be used to predict the risk of customer default, in particular: How does the probability of default payment vary by categories of different demographic variables? Which variables are the strongest predictors of default payment?