This is my internship project as a Project-Based Intern : Data Scientist Virtual Internship Experience at id/x partners
In this project, I used Logistic Regression, Random Forest. Naive Bayes, Perceptron, Stochastic Gradient Decent, Linear SVC, and Decision Tree for determine the probability of a bad loaner in a lending company and achieved an AUC score in 0.82 using random forest classifier, which includes good performance in credit risk