Flight_Delay_Prediction and flight-delay-prediction

flight-delay-prediction
21
Experimental
Maintenance 0/25
Adoption 7/25
Maturity 8/25
Community 19/25
Maintenance 0/25
Adoption 1/25
Maturity 8/25
Community 12/25
Stars: 25
Forks: 20
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License:
Stars: 1
Forks: 1
Downloads:
Commits (30d): 0
Language: RMarkdown
License:
No License Stale 6m No Package No Dependents
No License Stale 6m No Package No Dependents

About Flight_Delay_Prediction

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.

aviation-management flight-operations airport-logistics predictive-scheduling

About flight-delay-prediction

kerim-kilic/flight-delay-prediction

Predicting flight delays in the US airport network using machine learning

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