International Journal on Science and Technology

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Airline Flight Delay Prediction Using Machine Learning Algoritham

Author(s) SRI SHIVANI R, SULOCHANA V
Country India
Abstract Flight delays significantly impact airline operations, leading to financial losses, inefficiencies, and passenger dissatisfaction. Predicting flight delays accurately can help airlines optimize scheduling and improve customer experience. This study explores machine learning algorithms for predicting airline flight delays based on historical data and key influencing factors such as weather conditions, air traffic, departure time, and airport congestion.
Field Computer Applications
Published In Volume 16, Issue 1, January-March 2025
Published On 2025-03-29
Cite This Airline Flight Delay Prediction Using Machine Learning Algoritham - SRI SHIVANI R, SULOCHANA V - IJSAT Volume 16, Issue 1, January-March 2025. DOI 10.71097/IJSAT.v16.i1.2685
DOI https://doi.org/10.71097/IJSAT.v16.i1.2685
Short DOI https://doi.org/g899hb
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