Dynamic web application built in PHP to accurately visualize the prospects of NYC taxi demand for a location using Docker, Apache Zeppelin and a regression model that incorporates the interplay of local events and weather. With the help of this app, a cab driver could learn the prospects of a high demand zone anywhere in NY thus increase his profits and plan his schedule better by being at the right place at the right time.
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Dynamic web application built in PHP to accurately visualize the prospects of NYC taxi demand for a location using Docker, Apache Zeppelin and a regression model that incorporates the interplay of local events and weather. With the help of this app, a cab driver could learn the prospects of a high demand zone anywhere in NY thus increase his pro…
fionasequeira/NYC-Taxi-Demand-Predictor
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Dynamic web application built in PHP to accurately visualize the prospects of NYC taxi demand for a location using Docker, Apache Zeppelin and a regression model that incorporates the interplay of local events and weather. With the help of this app, a cab driver could learn the prospects of a high demand zone anywhere in NY thus increase his pro…
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