White Collar Crime Risk Zones
Machine Learning to Map Financial Crimes Probabilities
Designed by Brian Clifton, Sam Lavigne, and Francis Tseng, White Collar Crime Risk Zones uses machine learning to predict where financial crimes are mostly likely to occur across the US, and presents these zones through an interactive map.
White Collar Crime Risk Zones
A machine learning system that predicts where white collar crimes will occur throughout the US.
