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Could we model over a billion data points (50 GB) of taxi data from Chicago to predict and interpret taxi drivers profit over the last few years? We won 2nd in the graduate division.

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josiahcoad/DatascienceCompetition2018

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Taxi Profit Datascience Competition 2018

  • Final project for a competition analyzing over a billion data points (50 GB) of data.
  • We fit the data using a linear regression model with time series errors to predict median taxi revenue. 🚕
  • We won second from over 40 graduate teams!

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Could we model over a billion data points (50 GB) of taxi data from Chicago to predict and interpret taxi drivers profit over the last few years? We won 2nd in the graduate division.

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