nive927/Flight_Delay_Prediction
A two-stage predictive machine learning engine that forecasts the on-time performance of flights for 15 different airports in the USA based on data collected in 2016 and 2017.
This project provides a system to predict whether a flight will be delayed and, if so, by how many minutes. It takes real-time flight details and weather conditions as input to produce a clear forecast of a flight's on-time performance. This tool is ideal for airport operations managers, airline dispatchers, or aviation authorities looking to proactively manage flight schedules and passenger impact.
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Use this if you need to anticipate flight delays at 15 major US airports to optimize resource allocation, communicate with passengers, or minimize operational disruptions.
Not ideal if you need predictions for airports outside the USA or require predictions based on data more recent than 2017.
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Last pushed
Jan 10, 2024
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