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Data Science Supervised Classification: Predict Airline Delays and further Analysis

ChicagoDev/Flight-Delay-Classification

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FlightOnTime

Project 3 at Metis

This project is a supervised machine learning program. The objective is to determine whether an outbound flight from O'Hare airport will or will not be delayed.

Directory Structure

  • FAA - Main Codebase
    • Ohare.py
      • Loads database
      • Creates DataFrame of outbound data
      • Calculated attributes
      • Creates a modeling DataFrame
    • Hanger.py
      • Static miscellaneous methods. Creates charts and Data 'views'
    • model_airplanes.py
      • Helpers for creating training sets from airport data
  • data/
  • docs/
  • notebooks/ - EDA and Modeling
    • Modeling v2.ipynb
  • scripts/ - Unix and SQL scripts used for loading data

Blog Post

Data Sources

Bureau of Transportation

Weather.gov

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Data Science Supervised Classification: Predict Airline Delays and further Analysis

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