Entire process from membership to rental

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Problem Statement: In bike-sharing systems, the entire process from membership to rental and return has been automated. Using these systems, users can easily rent a bike from one location and return it to another. Hence, a bike rental company wants to understand and predict the number of bikes rented daily based on the environment and seasons.

Objective: The objective of this case is to predict bike rental counts based on environmental and seasonal settings with the help of a machine learning algorithm.

Reference no: EM133695089

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