Bike-Rental-Forecasting-System-with-AutoGluon
PublicMachine learning project achieving 66% RMSE improvement in bike sharing demand prediction using AutoGluon, temporal feature engineering, and systematic hyperparameter optimization. Demonstrates iterative model development from baseline (1.32 RMSE) to optimized solution (0.45 RMSE).
autogluonautomldata-scienceensemble-learningfeature-engineeringgradient-boostinghyperparameter-optimizationkaggle-competitionmachine-learningmxnet
Creat：2025-05-20T12:42:16
Update：2025-05-21T16:25:47
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