jpetoskey / loan_approval Goto Github PK
View Code? Open in Web Editor NEWUse a variety of classification models including logistic regression, decision trees, random forest, xgBoost, ensemble methods, and a support vector machine to determine whether a person should be approved for a loan. Utilize 14 features and 65,000 unique rows for data set.