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- W3121043949 abstract "Predicting bike rental based on environment and seasons deals with the real-life problems that were the bikes are going to be unused and kept as waste in the docking stations. In this, we will predict the total number of users that are going to be registered by taking the data of one docking station. We will collect the raw data from the geographical data, weather report, bike sharing data, and by using all this data, we use the regression techniques to solve the issue of unusage of the bike that are present in the docking stations. By using this regression technique, we will get the accurate prediction of the users that are going to be registered in the future. In this model, we will eliminate the duplicate data and the unwanted data, we will clean the data, and we will use this cleaned data as data points by collecting all these data points, and we will get a prediction line and the accurate score." @default.
- W3121043949 created "2021-01-18" @default.
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- W3121043949 date "2021-01-01" @default.
- W3121043949 modified "2023-09-25" @default.
- W3121043949 title "Predicting Bike Rental Based on Environment and Seasons" @default.
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- W3121043949 doi "https://doi.org/10.1007/978-981-15-7511-2_68" @default.
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