- 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.
Photo from altcoin.media
Flight Departure Delay Prediction
