Case study – predicting bike sharing demand

Bike sharing schemes have become very popular across the world over the last decade or so as people seek a convenient means to travel within busy cities while limiting their carbon footprint and helping to reduce road congestion. If you are unfamiliar with bike sharing systems, they are very simple; people rent a bike from certain locations in a city and thereafter return that bike to either the same or another location once they have finished their journey. In this example, we will be examining whether we can predict the daily demand for bike sharing systems given the weather on a particular day!

The dataset that we will be using has been derived from the University of California's (UCI) machine ...

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