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Bike Sharing Rental Prediction Model by mdaamirrec is a document available to read on EtoBox.

This project report details the development of a bike sharing rental prediction model using machine learning techniques to forecast bike demand. The model was created using historical rental data, considering factors such as weather and time of day, and evaluated through various algorithms including linear regression and gradient boosting. The project was conducted by a group of students at KIIT Deemed to be University under the guidance of Dr. Jayanti Dansana.

Author

mdaamirrec

Language

EN