In 2016 BuzzFeed published an article reporting on flights of spy planes from the FBI and Department of Homeland Security (DHS). BuzzFeed determined that it should be possible to train a ML algorithm to find government spy planes based on flight patterns that resemble those operated by the FBI and DHS.
With data gathered from Kaggle( https://www.kaggle.com/jboysen/spy-plane-finder?select=faa_registration.csv), I implemented a Machine Learning Algorithm that classifies a plane as "surveil"(spy surveilence plane) or "other" based on a planes features and flight pattern.
After I recieved the predictions for each plane I was curious to find out the top businesses, cities, and states that had the highest probabilities of having spy planes; visuals are given to help answer those questions.
My complete analysis can be viewed at: https://shiny.byui.edu/connect/#/apps/1433/access