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Below is the sample dataset from the bike rental forecasting problem discussed in one of the previous exercises.


Bike Rental Forecasting Dataset

The attributes have the following meaning:

  • instant - record index. It is a unique identifier.
  • season - season (1: springer, 2: summer, 3: fall, 4: winter)
  • yr - year (0: 2011, 1:2012)
  • holiday - weather day is holiday or not
  • weekday - day of the week
  • workingday - if day is neither weekend nor holiday is 1, otherwise is 0
  • temp - Normalized temperature in Celsius
  • cnt: count of total rental bikes

Our task is to build a machine learning model which estimates the bike demand in future. Which columns can be used as features in this task?


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