Kaggle competition to predict NYC taxi travel times. The report for the project is at capstone.pdf.
- Python 3
- Scikit-learn: Python’s open source machine learning library
- XGBoost: Python package for XGBoost model,
The primary train dataset (train.csv) and test dataset (test.csv) is at the Kaggle competition website.
The weather dataset is at: weather_data_nyc_centralpark_2016.csv.
The datasets for the fastest routes from OSRM can be found here. The files are: fastest_routes_train_part_1.csv, fastest_routes_train_part_2.csv, and fastest_routes_test.csv
The final visualization image for the project report is visualization.pdf (.png), and is best viewed zoomed in.