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Predict Bike Sharing Demand in DC (Poisson and Negative Bionomial)

Conducting a predictive data analysis to predict future rental bike demands.

In this project, I have used a data set containing the hourly and daily count of rental bikes between the years 2011 and 2012 in the Capital bike share system in Washington, DC, with the corresponding weather and seasonal information from Kaggle.

Data Source: Bike Sharing in Washington DC data set

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Conducting a predictive data analysis to predict the future rental bike demands.

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