EDA project for Crime Data Analysis for LAPD

A BFO and CCO conformant ontology of criminal acts

Crime and Criminal Analysis System integrating geospatial, temporal, and demographic analytics for predictive modeling of criminal activities. It employs machine learning for optimizing police resource allocation and incorporates real-time social media scraping for proactive crime detection.

An interactive map that shows crime information and statistics in the UK

🏠🔍 Where should I rent? This project analyzes rent prices and crime rates in Edmonton neighborhoods, empowering renters with insights to make informed decisions about their next home. Explore rental options and safety considerations with interactive visualizations!

Data Ingestion Lab with Nifi and Data Analysis on PySpark and Pandas of UK Police Crime API

This project explores the applicability of various machine learning models to predict whether a crime was solved, based on a comprehensive dataset from the USA for the period 1980-2014.

The repository for the Tallahassee, FL crime map project using GAN.

Analyzing US crime statistics using hierarchical clustering to uncover patterns in state-level arrest data and Advanced analytics to delineate market segments in retail, optimizing targeted marketing strategies through customer behavior and demographic profiling.

This project analyzes hate crimes reported in the NYPD using data from a Kaggle dataset. It explores temporal and spatial patterns, offense types, bias motivations, and arrest trends. The analysis involves data cleaning, preprocessing, and visualization to reveal insights into crime trends and geographical concentrations.

Analyzing US crime statistics using hierarchical clustering to uncover patterns in state-level arrest data

The goal of this project is to reduce the number of safety incidents riders experience by optimizing the officer allocation per region to deter crime.

This repository is dedicated to raising awareness about possible crimes in Derbyshire through the critical analysis of the different crimes

Text of the textbook that accompanies the UCL module SECU0005 Crime Mapping

Tutorials for crime mapping in R

Focus: Show a temporal space on Chicago crime.

A console based projects in which the camera detects the face of a criminal and updates the location of the criminal to a realtime database to alert the officers in the control room . STACK USED - Python , OpenCv , Firebase

Street Crime Analysis Year 2021