HwaiTengTeoh/Flight-Delays-Prediction-Using-Machine-Learning-Approach
Flight delays prediction and analysis: Machine Learning Approach
This project helps airline operations managers and travel agencies anticipate potential flight disruptions. By inputting historical flight data including factors like origin, destination, scheduled times, and carrier, it can predict whether a specific flight is likely to be delayed. The output is a clear indication of a flight being 'delayed' or 'not delayed', enabling better planning and communication for both airlines and passengers.
No commits in the last 6 months.
Use this if you need to proactively identify flights at risk of delay to optimize operations, manage resources, and improve customer satisfaction.
Not ideal if you need a real-time, dynamic prediction system that integrates live operational data, as this project is based on historical patterns.
Stars
13
Forks
5
Language
Jupyter Notebook
License
—
Category
Last pushed
Oct 07, 2022
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/HwaiTengTeoh/Flight-Delays-Prediction-Using-Machine-Learning-Approach"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
harshitaphadtare/GoPredict
End-to-end machine learning pipeline for trip duration prediction with feature engineering,...
michaelflppv/flight-delay-insurance
This is a repository of the educational project within "Deep Dive into Blockchain (DDiB)" Summer...
nive927/Flight_Delay_Prediction
A two-stage predictive machine learning engine that forecasts the on-time performance of flights...
junzis/atdelay
Air Traffic Delays Prediction Models
yankmo/DeepTP
基于深度学习的飞行轨迹预测系统，融合天气数据和飞行计划实现智能航迹预测