Takes loan applicant data and builds an ML model using sklearn, pandas, and pickle to predict if an applicant will be accepted or rejected.
Overall model performace is 82.22% which I deem as acceptable.
Inlcuded a small writeup on how RidgeRegression functions and a few thoughts on improvements for the model.
included the data the model was built upon.