Credit Card Fraud Prediction

Statistical learning models were applied to heart disease dataset in order to predict the individuals’ severeness of the heart disease based on their clinical and demographic information. A variety of learning techniques, including k-nearest neighbors, random forest, neural networks models, and GBM models, were explored and validated, ultimately random forest models showed the best accuracy.