Matthew Miller
Identify Fraud From Enron Emails
Built a "person of interest (POI) classifier" using algorithms from Scikit-learn. Used machine learning to identify Enron Employees who may have committed fraud based on public Enron financial and email data. Explored and cleaned the data, created new variables, performed feature selection using both univariate and recursive feature selection, and ultimately achieved Precision and Recall scores of 57% and 48% using a tuned AdaBoostClassier algorithm.