Data wrangling, exploratory analysis and machine learning to predict New York City Cab Fares using regression. LightGBM, Sequential Deep Learning and Random Forests are explored. Models includes regularization, segmentation, and one-hot encoding. Slide deck included.
coreyjwade/NYC_Cab_Fare
Predict New York City cab fares with Neural Nets, Random Forests and LightGBM.
Jupyter Notebook