Identification and comparison of factors behind mental turbulence of public and private university students

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021.

Detalles Bibliográficos
Autores principales:	Tahsin, Md. Akil, Hannan, Sumaiya, Shifa, Fabiha Rumman
Otros Autores:	Chakrabarty, Amitabha
Formato:	Tesis
Lenguaje:	English
Publicado:	Brac University 2021
Materias:	Data Mining Machine Learning Frequent Feature Association Rule Apriori Logistic Regression KNN K-Nearest Neighbour Random Forest Regression SMOTE Synthetic Minority Oversampling Technique MAE R-Squared Optimization Identification Depression Mental Health University Public University Private University Bangladesh Social Impact PHQ-9 Data mining
Acceso en línea:	http://hdl.handle.net/10361/14990

http://hdl.handle.net/10361/14990

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