Built a predictive ML pipeline to estimate NYC taxi trip durations. The project covers full data preprocessing, feature engineering, exploratory data analysis (EDA), model training with Random Forest, and hyperparameter tuning using GridSearchCV to optimize performance.
Stack: Python, Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn