Hack the Fire

Hack the Fire uses Calgary Open Data as training data so it can predict based only on date and # of incidents whether a response by the Calgary Fire Department was to a Fire or to another incident.

It uses a primitive Perceptron Machine Learning algorithm to build a predictive weighting.

With many loops of the algorithm, the weighting becomes more accurate reaching 95% accuracy after 500 iterations.

New test data can then be manually input to test the predictive capabilities.

Data Source

Tech Stack

  • Jupyter
  • Python 3.6
  • Panda
  • NumPy

Built at Hack the North 2017.

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