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Taxi Demand Prediction #56

Open prodigyinfotech opened 2 weeks ago

prodigyinfotech commented 2 weeks ago

In this, we will convert a time series problem to a supervised machine learning problem to predict driver demand. Exploratory analysis has to be performed on the time series to identify patterns. A regression model must be built and used to solve this time-series problem. Once the training model is prepared, spot testing will be performed on it. Following this, the driver demand prediction will be performed using Random Forest and Xgboost as the ensemble models.

ayush-bothra commented 1 day ago

I have some questions

  1. is the time step one hour or one day?

If u can, assign this issue to me thankyou

prodigyinfotech commented 1 day ago

You can pick any one as per your pref