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User Closest Percentile Price

The main.py file is set to do the following:

  • Read two Excel sheets (market rates, user rates)
  • Calculate user's closest percentile price for each route (origin - destination)
  • Use LinearRegression model to predict the price in the next month based on the market rates data

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