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This project focused on building linear regression models to predict Uber ridership in NYC. Using weather data, NYC taxi data, and Uber data from January - June 2015, employed Scikit-learn tools to predict how many Uber trips occur during a given hour.

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Predicting Uber's hourly ridership in NYC with weather data, yellowcab data, and linear regression.

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