This project deals with training model for German credit risk and the extraction of input features by analyzing previous data
The Risk prediction mainly depends on following things: 1.Age 2.Gender 3.Job 4.Credit amount 5.Purpose 6.Duration
Various input feature are changed to int categorical values, please go through the code for easy understanding
Some of the misleading input features can be dropped ,but it depends upon the client importance and application
Iam a starter for this domain,working hard to do intresting PROJECTS furtherly