Project information

Bike Sharing Prediction Model

Reengineered data processing of data and feature engineering restructured residual analysis on developed 8 machine learning models. Boosted Different performance parameters metrics AIC/BIC, trained random forest, and support vector machine with an accuracy of 87% on test data.