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Flight Departure Delay Prediction

Photo from altcoin.media

Flight Departure Delay Prediction

  • Obtained the dataset and converted date, month and year columns into date-time object, then into single date column.
  • Encoded Airport and Airline names into numerical labels for easier analysis.
  • Scraped weather data from www.wunderground.com (Weather Underground) and integrated into the flight delay dataset.
  • Split Departure Delay column into 4 bins based on the amount of delay and predicted it using Random Forest, Logistic Regression, Decision Tree and Naïve Bayes from Scikit-learn library.
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Sandeep Gunda
Aspiring Data Scientist