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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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