Comparing crime in cities based on per capita rates and population scaling adjustment.
-
Updated
Dec 16, 2023 - Jupyter Notebook
Comparing crime in cities based on per capita rates and population scaling adjustment.
Real-time women's safety intelligence platform for Indian cities. Interactive heatmap visualization of crime hotspots, risk-scored zones, police station tracking, riot/protest monitoring, and emergency SOS tools.
🚔 Serverless data lakehouse on AWS analyzing 100K+ Chicago crimes with Apache Iceberg, Lake Formation governance, and sub-second Athena queries for $6/month
Multi-module ML platform for urban crime analytics XGBoost classification, NLP incident categorisation, K-Means hotspot detection, and Prophet forecasting on the Chicago Crimes dataset.
Visual comparisons of crime data for Seattle and San Francisco, with an emphasis on crimes associated with drugs. Implemented in R. Links to rendered HTMLs in README.md.
Case study examining motor vehicle thefts in New Zealand over 7 months
Interactive Streamlit dashboard for monitoring district-level crime trends and forecast-informed risk insights in Chicago.
Add a description, image, and links to the crime-analytics topic page so that developers can more easily learn about it.
To associate your repository with the crime-analytics topic, visit your repo's landing page and select "manage topics."