https://github.com/datadesk/lapd-crime-classification-analysis

A Los Angeles Times analysis of serious assaults misclassified by LAPD
https://github.com/datadesk/lapd-crime-classification-analysis

crime crime-data data-analysis data-journalism journalism jupyter-notebook machine-learning news pandas python

Last synced: about 2 months ago
JSON representation

A Los Angeles Times analysis of serious assaults misclassified by LAPD

• Host: GitHub
• URL: https://github.com/datadesk/lapd-crime-classification-analysis
• Owner: datadesk
• Archived: true
• Created: 2015-10-14T23:07:10.000Z (almost 9 years ago)
• Default Branch: master
• Last Pushed: 2018-10-21T00:47:32.000Z (almost 6 years ago)
• Last Synced: 2024-04-17T03:21:03.313Z (5 months ago)
• Topics: crime, crime-data, data-analysis, data-journalism, journalism, jupyter-notebook, machine-learning, news, pandas, python
• Language: Jupyter Notebook
• Homepage: http://www.latimes.com/local/cityhall/la-me-crime-stats-20151015-story.html
• Size: 12.7 KB
• Stars: 60
• Watchers: 5
• Forks: 9
• Open Issues: 2
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

        
# lapd-crime-classification-analysis

The Times analyzed Los Angeles Police Department violent crime data from 2005 to 2012. Our analysis found that the Los Angeles Police Department misclassified an estimated 14,000 serious assaults as minor offenses, artificially lowering the city’s crime levels.

This repository has an [ipython notebook](http://ipython.org/notebook.html) file to [demonstrate how we used two machine learning classifiers](https://github.com/datadesk/lapd-crime-classification-analysis/blob/master/classifiers.ipynb) to analyze more than 400,000 crimes -- records we obtained through a California public records request. We have also released two small slices of the data we used to [train](https://github.com/datadesk/lapd-crime-classification-analysis/blob/master/training_data.csv) and [test](https://github.com/datadesk/lapd-crime-classification-analysis/blob/master/test_data.csv) our models.