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.

Xehetasun bibliografikoak
Egile Nagusiak:	Tahsin, Md. Akil, Hannan, Sumaiya, Shifa, Fabiha Rumman
Beste egile batzuk:	Chakrabarty, Amitabha
Formatua:	Thesis
Hizkuntza:	English
Argitaratua:	Brac University 2021
Gaiak:	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
Sarrera elektronikoa:	http://hdl.handle.net/10361/14990

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

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