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.

Detalhes bibliográficos
Principais autores:	Noyon, Md. Shaim Hosan, Islam, Tanzidul, Islam, Solaiman, Reejon, Md. Refayet Islam
Outros Autores:	Chakrabarty, Amitabha
Formato:	Tese
Idioma:	English
Publicado em:	Brac University 2024
Assuntos:	XGBoost Price prediction Air fare Regessor models PCA Machine learning
Acesso em linha:	http://hdl.handle.net/10361/23256

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