Seoul Bike Sharing Demand Prediction

Published: 2 May 2020| Version 2 | DOI: 10.17632/zbdtzxcxvg.2
Contributor:
Sathishkumar V E

Description

Data include weather information (Temperature, Humidity, Windspeed, Visibility, Dewpoint, Solar radiation, Snowfall, Rainfall), the number of bikes rented per hour and date information.

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Institutions

Sunchon National University

Categories

Data Mining

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