The purpose of this project was to demonstrate my machine learning skills. The code was created in a Python Notebook using the numpy, pandas, matplotlib, seaborn, and sklearn libraries. I used a Random Forest Classifier along with PCA for dimension reduction. I also analyzed results using confusion matrices and by plotting decision boundaries.