In this project, I investigate what factors affect the freight value for freight that is transported within the United States. I have taken a dataset from the Bureau of Transportation Statistics, which is part of the US Department of Transportation. The dataset only considers data for the year of 2017. Features in the dataset include: the mode of transportation, the origin and destination, the commodity type, the trade type, the weight, the value, and the distance traveled.
- Predicting_freight_value-Data_Cleaning.ipynb: Notebook dedicated to loading the raw dataset and cleaning it to prepare it for modeling.
- Predicting_freight_value-Modeling: Notebook dedicated to data exploration, feature engineering, and modeling.
- helpers.py: A script storing custom functions used by both Jupyter notebooks.