Crime Rate Prediction

Cleaned and analyzed the SF Crime dataset to uncover crime patterns.

Applied clustering techniques to group crimes by location, time, and

category, helping identify hotspots. Built predictive models to forecast

crime incidents and used Python visualizations to support decision

making and improve situational awareness.