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This research work will mainly revolve around understanding how annual members and casual riders use cyclistic bikes differently. The comparison along with other tasks will later be used to design marketing strategies aimed at converting casual riders to annual members.

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big-data data-analytics r-programming bike-share machine-learning research-paper sales-boost exploration ml-algos research-and-development

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