Machine Learning Loan Performance Optimization

A machine learning algorithm trained on over 215,000 loan data records, which predicts the probability of default at a higher accuracy than the existing model. A series of algorithms like Random Forest, Logistic Regression, XGBoost, Gradient Boost, and Ensembles, were used to compute the highest accuracy. Project in partnership with Jay Mairs.