Examining the statistical distribution of credit card transactions, taken from a recently posted Kaggle dataset of over 285k transactions. This is a preliminary step in fraud prediction, and reveals how large numbers of transactions adhere to specific power law distributions.

Predicting credit card fraud using XGBoost machine learning algorithm on Amazon SageMaker. Uses an AWS EC2 RStudio instance.

Using Facebook's Prophet package to forecast the US Housing Price Index. This is an intermediate demo of how to acquire, clean, transform, and forecast publicly available housing data using a variety of R packages.