Crime Prevention in San Francisco using XGBoost and Python

Crime Prediction using XGBoost and Python, sf crime map

This tutorial predicts crime types in San Francisco (SF) and plots them on a zoomable city map. We work with a Kaggle dataset containing past crimes and distinguish between 39 crime types, including vehicle theft, assault, and drug-related activities. We then use Python and Scikit-Learn to train a classification model … Read more