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Flight Delay Prediction Using ML Techniques by Rajeswari Kalidindi is a document available to read on EtoBox.

What is Flight Delay Prediction Using ML Techniques about?

The project report focuses on predicting flight delays using aviation big data and machine learning techniques, aiming to improve accuracy beyond traditional methods that often target single routes or airports. It proposes a comprehensive system that integrates various factors influencing flight delays and employs multiple machine learning models, achieving a notable prediction accuracy of 90.2% with a random forest-based approach. The report outlines the project

Author

Rajeswari Kalidindi

Language

EN