Case Study
Uber Rides Analysis
Overview
Analyzed 500,000+ ride records to uncover pricing and demand patterns. Built an XGBoost regression model achieving RMSE: 1.84 for fare prediction with feature engineering and hyperparameter tuning.
Case Study
Analyzed 500,000+ ride records to uncover pricing and demand patterns. Built an XGBoost regression model achieving RMSE: 1.84 for fare prediction with feature engineering and hyperparameter tuning.