https://github.com/rogerfitz/chicitycrime

An investigation of crime in chicago
https://github.com/rogerfitz/chicitycrime

Last synced: about 1 month ago
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An investigation of crime in chicago

• Host: GitHub
• URL: https://github.com/rogerfitz/chicitycrime
• Owner: rogerfitz
• Created: 2015-01-23T04:14:51.000Z (almost 10 years ago)
• Default Branch: master
• Last Pushed: 2015-01-24T02:52:56.000Z (almost 10 years ago)
• Last Synced: 2023-07-31T12:14:05.637Z (over 1 year ago)
• Language: Python
• Size: 1.05 MB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Chicago Crime

An investigation of crime in Chicago. Investigating effect of warm days on homicides. Eventually attempt at predicting homicides. On success will create a "death forecast" and twitter to urge people not to shoot each other on high risk days.

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Previous investigation, http://nbviewer.ipython.org/github/brianckeegan/WeatherCrime/blob/master/Analysis.ipynb, focused on large scale techniques. In this I attempt to identify days ripe for murder taking into account day to day temp change and weather prior (days likely spent more inside vs warm weather/nice -> outside). Eventually I hope to have a model that can predict days ripe for murder by tweaking my model. Goal is to produce something effective and useful no matter it's scope.

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parse_script fetches daily data from the NOAA for ORD (tweakable to different locales) and places in data folder

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Project intended as a learning excercise in applying different algorithms in machine learning. First is a classification algorithm and then will attempt PCA.