Seoul Bike Sharing Demand Prediction
Published: 2 May 2020| Version 2 | DOI: 10.17632/zbdtzxcxvg.2
Contributor:
Sathishkumar V EDescription
Data include weather information (Temperature, Humidity, Windspeed, Visibility, Dewpoint, Solar radiation, Snowfall, Rainfall), the number of bikes rented per hour and date information.
Files
Institutions
Sunchon National University
Categories
Data Mining