Bike-Sharing-Demand-Prediction-End-to-End-Project

Public

This project aims to develop a machine learning model that predicts the demand for bike sharing in a given location. By analyzing historical data on weather conditions, day of the week, and other factors, we aim to create a model that can accurately forecast the number of bikes that will be rented at different times.

flask-application heroku-deployment lightgbm regression-model streamlit supervised-machine-learning

Creat：2023-06-01T22:22:16

Update：2025-01-23T13:18:58

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