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Python Code - using bikeshare csv dataset found on kaggle 13. Finally build a model that attempts to predict count based off the following features.

Python Code - using bikeshare csv dataset found on kaggle

13. Finally build a model that attempts to predict count based off the following features.

season

holiday

workingday

weather

temp

humidity

windspeed

hour (factor)

Get the summary of the model

Did the model perform well on the training data? What do you think about using a Linear Model on this data?

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