LA Crime Data EDA: Unmasking the City’s Dark Secrets 🌆🕵️‍♂️🔍. Step into the gritty underbelly of Los Angeles with this electrifying EDA project! We’re diving deep into the city’s crime data to uncover jaw-dropping trends, shocking patterns, and eye-popping insights. Buckle up for a wild ride through the streets of LA! 👮‍♂️🚔

I analyzed crime incident-based data in California in the year 2022. I used SQL for analysis and Tableau for visualization.

Calgary Crime Forecast: Leveraging LSTM neural networks to dissect and predict crime patterns from 2018-2024 data, this project aims to enhance public safety strategies through meticulous data analysis and advanced predictive modeling.

101 CASES in Film/Music/Arts of Victims/Witnesses (Visual & Performing Arts) to Improve Lives. Showing Cases Filed (Lawsuits), Related Cases (Criminal and Civil), Not Litigated, and Similar to Visual & Performing Arts, with Analysis including Perception Guides in "The Business" - Accessible Information to Help Better Changes - Golden Era to PRESENT

Webscraping from my local online newspaper to outline the statistically most dangerous parts of my town. Still in progress, future versions will include a visual heatmap.

EDA project for Crime Data Analysis for LAPD

Chicago PD data analysis on Chicago community areas between 2015-2023

A BFO and CCO conformant ontology of criminal acts

This repository contains project materials for the Fall 2023 MGT 256 class. This project is completed with assists from Professor Adem Orsdemir.

Crime Investigation - Explore connections in crime data using the POLE - Person, Object, Location, Event - model in a public dataset from Manchester, U.K.

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

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.

A mobile application is also made for common people totrack criminals.

Python code to parse the cost-of-living HTML from erieri.com, i.e. https://www.erieri.com/cost-of-living/united-states/illinois/chicago

An end-to-end application for crime rate detection and crime type classification

Mini BigQuery SQL personal project

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.

Hack 4 LA: City of Los Angele's Crime and Arrest Data Project

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.