Predicting Flight Delays with Error Calculation

Abstract

Flight delay is vexatious for passengers and incurs an agonizingly high financial loss to airlines and countries. A structured prediction system is an indispensable tool that can help aviation authorities effectively alleviate flight delays. This project aims to build a two stage machine learning engine to effectively predict the arrival delay of a flight after departure based on real-time flight and weather data

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