Seoul bike sharing demand prediction is a project that uses machine learning to predict the demand for rental bikes in Seoul, South Korea. The project aims to provide insights for the city's bike-sharing system to better manage the supply of bikes and ensure their availability to the public at the right time.
I have a strong interest in DATA SCIENCE and MACHINE LEARNING, and currently, I am working as a trainee in the field of Data Science. My interests include Python programming, Machine Learning and Statistics.
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