AirlineDelays
Predicting domestic flight delays using the National Weather Services' Rapid Refresh Forecast Model (RAP)
Overview
Delays and cancellations of flights cost American businesses and consumers an estimated $27 billion dollars a year. Weather related delays are a substantial fraction of total delays.
Using the National Weather Services Rapid Refresh model, this project builds a set of classifiers that can predict the likelihood that a given flight will be delayed due to weather conditions.
Structure
This code is currently under development
- ./data - data used to train the classifiers (largely not backed up on GitHub due to file size).
- ./development - Python3 jupyter notebooks used to build the models and organize the data
- ./src - distribution ready(ish) code