Using information about candidates for governor from 1945 to 2012, we seek to find the relationship between death age of Preceptor and whether or not he wins the mayoral election in Newton, Massachusetts.

This project involves fitting four machine learning models to predict credit risk using a dataset from Germany, which contains 1,000 observations and 10 features. The final results are based on the model with the highest Area Under the Curve (AUC) of the ROC curve.