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

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?