Investigating the problem of slowing police response rates and evaluating if a practical software solution can be produced to predict and provide informed decisions to ground officers
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Updated
Dec 16, 2017 - C#
Investigating the problem of slowing police response rates and evaluating if a practical software solution can be produced to predict and provide informed decisions to ground officers
A simple crime statistics app, used to get UK crime data based on location, crime categories and dates.
A Crime Statistics dashboard to visualise the trend of crime rates in America
This project aims to understand the algorithmic bias in the corrections system through analyzing the COMPAS dataset.
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.
Crime prediction
An android application which allows you to see crimes in a certain area and plots the data on a map.
Analysis of crime data by U.S. Census Bureau block groups within the city of San Diego.
Python code that provides a tool for analyzing and visualizing crime data
The code I wrote to produce the visualizations on my blog article about a Los Angeles crime dataset. I have provided a link to the article.
An interactive map that shows crime information and statistics in the UK
This repo documents the process of finding an appropriate model to predict the factors that reduce the number of serious crimes in a county.
This is for anyone seeking to use crime data at the city level for research. These tables are from the FBI Database, which isn't the most user friendly, so I decided to create a repository in the hopes this helps someone else.
This repository is a machine learning project entailing clustering of regions/districts based on crime types features. Application of k-means simplifies this clustering as you can easily tell districts with similar crime patterns, know regions of high risk due to the diversity of crimes committed.
This project is sponsored by Rochester Police Department, and aimed at implementing statistical analysis of the impact that blue light surveillance cameras have on crime activities within their view fields.
A web portal which works to collaborate the goverment authorities to and from citizens to monitor and exchange timely reports witnessed in realtime allowing for action in no time.
Business Intelligence - NSW Crime (Descriptive, Predictive, Prescriptive Analysis) - Tableau, 2020
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