Our goal was to train a neural network to predict Canadian federal election results in Quebec based on weather station-derived climate variables.

We parsed climatedata.ca weather station data and open.canada.ca election results. We trained a neural network visualized results per election riding.

We increased our data mining, data parsing and neural network training skills and we learned that politics are difficult!

Built With

  • cartopy
  • geopandas
  • geopy
  • jupyter
  • keras
  • python
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