https://github.com/colcarroll/driving_fatalities
Case study in state fatality rates using partial pooling with PyMC3
https://github.com/colcarroll/driving_fatalities
Last synced: over 1 year ago
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Case study in state fatality rates using partial pooling with PyMC3
- Host: GitHub
- URL: https://github.com/colcarroll/driving_fatalities
- Owner: ColCarroll
- Created: 2017-12-07T20:17:47.000Z (over 8 years ago)
- Default Branch: master
- Last Pushed: 2017-12-07T21:33:11.000Z (over 8 years ago)
- Last Synced: 2025-01-30T08:29:37.942Z (over 1 year ago)
- Language: Jupyter Notebook
- Size: 365 KB
- Stars: 2
- Watchers: 3
- Forks: 2
- Open Issues: 1
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Metadata Files:
- Readme: README.md
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README
# Driving Fatalities
This is the code to go along with the article published [here](https://colindcarroll.com/2017/12/07/does-this-convince-you-that-self-driving-cars-are-safe/)
Using `conda`, and python 3.6, installation should work with `conda install pymc3 pandas seaborn jupyter`.