lapd

Analyse Los Angeles Crime rate between 2012 - 2016 using python pandas, numpy and matplot libraries

Code developed for Markup Languages and Document Processing @FEUP

🚨 ML project predicting crime categories from LAPD incident data using RandomForest, SVC & Decision Tree (95% accuracy)

This repository contains the implementation and analysis for predicting whether reported crime cases are resolved or remain under investigation using machine learning.

Capital XR is a curated LSPDFR mod list for GTA 5 featuring 100+ realistic police mods including callouts, backup plugins, EUP uniforms, vehicles, audio, visuals, and utilities. This mod list is designed for immersive policing gameplay and is updated for 2026.

Test if you're eligible to join LAPD

Exploratory data analysis of 1M+ LAPD crime records (2020–2024). Production-quality Python pipeline with data cleaning, 24 interactive Plotly visualizations, correlation analysis, outlier detection, and auto-generated executive report.

This project explores crime patterns in Los Angeles using a dataset from Los Angeles Open Data. By analyzing trends across neighborhoods, crime types, and time periods, the goal is to provide actionable insights that help the LAPD allocate resources effectively and enhance public safety.

Analyze and report on crime in SORO

DAT 490 LA Crimes Capstone Project in 2025

Machine learning classification project predicting arrest outcomes using LAPD incident data.