Analyzed credit loan data from Kaggle. with 132 variables and 300000+ records. The aim is to find significant factors that contribute to the loan default

American loan default analysis

My first attempt with building a SVM model, and optimizing the cost and gamma parameters using the Gaussian Kernel grid search method.

Loan Prediction

Loan Default Prediction, Individual Level Loan Data, Machine Learning, Logistic regression, Ridge, LASSO, Gradient Boosting, SVM, Random Forest

Machine Learning Key Projects