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This analysis seeks to forecast the daily number of car accidents in the county of Denver, Colorado using both traditional time series methods from the statsmodels library, as well as the Prophet forecasting framework as implemented in the prophet library.

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Car Accident Forecasting

This analysis seeks to forecast the daily number of car accidents in the county of Denver, Colorado using both traditional time series methods from the statsmodels library, as well as the Prophet forecasting framework as implemented in the prophet library.

Data Sources

Notebook includes additional citations.

Environment

  • Python==3.10.8
  • Jupyter==1.0.0
  • prophet==1.1.4
  • statsmodels==0.13.5
  • sklearn==1.2.2
  • pandas==1.5.2
  • geopandas==0.13.2
  • matplotlib==3.6.2
  • seaborn==0.12.1
  • shapely==2.0.1
  • numpy==1.26.0
  • scipy==1.11.3
  • holidays==0.32
  • re==2.2.1
  • logging==0.5.1.2
  • os
  • calendar
  • collections
  • itertools
  • warnings

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This analysis seeks to forecast the daily number of car accidents in the county of Denver, Colorado using both traditional time series methods from the statsmodels library, as well as the Prophet forecasting framework as implemented in the prophet library.

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