Flight fare prediction using machine learning

Flight fare prediction using machine learning

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2022.

Dettagli Bibliografici
Autori principali: Noyon, Md. Shaim Hosan, Islam, Tanzidul, Islam, Solaiman, Reejon, Md. Refayet Islam
Altri autori: Chakrabarty, Amitabha
Natura: Tesi
Lingua:English
Pubblicazione: Brac University 2024
Soggetti:
XGBoost
Price prediction
Air fare
Regessor models
PCA
Machine learning
Accesso online:http://hdl.handle.net/10361/23256

Accesso online

http://hdl.handle.net/10361/23256

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