Bike Sharing Demand Prediction
Project information
- Project URL: GitHub Repository
About this project
A machine learning regression model built with neural networks to predict the count of total daily rental bikes, distinguishing between casual and registered users. The dataset includes 16 meteorological and calendar features (weather conditions, temperature, humidity, wind speed, day of week, and seasonality) mapped to predict rental volume accurately.