Using the Caret package to create multiple models simultaneously and creating an ensemble method for predictions.

A look into the difference in run-time using a standard procedure vs. one employing the use of multiple cores.

This is an implementation of the "XGBoost" package on a multi-class classification problem used to predict employment in an analytics challenge hosted by a University.

Creating a map in R of where murders occurred in Chicago in 2017.

Creating a Naive Bayes model to explore the dependence of variables within a dataset upon one another.

This is a submission made for a competition on campus to predict employment based on demographic factors in a given dataset.

A comparison of how the two packages compare in terms of speed and ease of use in loading, transforming, and manipulating large datasets in R.