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.

Detalhes bibliográficos
Principais autores:	Tahsin, Md. Akil, Hannan, Sumaiya, Shifa, Fabiha Rumman
Outros Autores:	Chakrabarty, Amitabha
Formato:	Tese
Idioma:	English
Publicado em:	Brac University 2021
Assuntos:	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
Acesso em linha:	http://hdl.handle.net/10361/14990

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

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