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.

Bibliografiske detaljer
Main Authors:	Tahsin, Md. Akil, Hannan, Sumaiya, Shifa, Fabiha Rumman
Andre forfattere:	Chakrabarty, Amitabha
Format:	Thesis
Sprog:	English
Udgivet:	Brac University 2021
Fag:	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
Online adgang:	http://hdl.handle.net/10361/14990

id	10361-14990
record_format	dspace
spelling	10361-149902022-01-26T10:13:16Z Identification and comparison of factors behind mental turbulence of public and private university students Tahsin, Md. Akil Hannan, Sumaiya Shifa, Fabiha Rumman Chakrabarty, Amitabha Department of Computer Science and Engineering, Brac University 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 This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021. Cataloged from PDF version of thesis. Includes bibliographical references (pages 51-53). Among the young generation of Bangladesh, especially university students, mental health is a challenging but ignored topic. The primary goal of this paper is to analyze mental states found in university students all while trying to find out comparative distinction between factors prominent in public and private university environment. Professional consultation has been taken to determine probable factors related to a student’s university life and mental health. The dataset is split into public and private university students to map the specific involvement of aforementioned factors. SMOTE has been used to handle data imbalance for minority classes. Machine learning algorithms such as Logistic Regression, K-Nearest Neighbour Regression and Random Forest Regression have been evaluated with MAE and R2. The most optimal regression algorithm followed by Apriori data mining algorithm have been discussed to build a hybrid model. Most influential factors are identified, comparative analysis of selected features’ influence levels and associations are explored and probable causes are discussed. Md. Akil Tahsin Sumaiya Hannan Fabiha Rumman Shifa B. Computer Science 2021-09-09T09:21:23Z 2021-09-09T09:21:23Z 2021 2021-06 Thesis ID 17101510 ID 17101384 ID 21141042 http://hdl.handle.net/10361/14990 en Brac University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. 53 pages application/pdf Brac University
institution	Brac University
collection	Institutional Repository
language	English
topic	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
spellingShingle	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 Tahsin, Md. Akil Hannan, Sumaiya Shifa, Fabiha Rumman Identification and comparison of factors behind mental turbulence of public and private university students
description	This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021.
author2	Chakrabarty, Amitabha
author_facet	Chakrabarty, Amitabha Tahsin, Md. Akil Hannan, Sumaiya Shifa, Fabiha Rumman
format	Thesis
author	Tahsin, Md. Akil Hannan, Sumaiya Shifa, Fabiha Rumman
author_sort	Tahsin, Md. Akil
title	Identification and comparison of factors behind mental turbulence of public and private university students
title_short	Identification and comparison of factors behind mental turbulence of public and private university students
title_full	Identification and comparison of factors behind mental turbulence of public and private university students
title_fullStr	Identification and comparison of factors behind mental turbulence of public and private university students
title_full_unstemmed	Identification and comparison of factors behind mental turbulence of public and private university students
title_sort	identification and comparison of factors behind mental turbulence of public and private university students
publisher	Brac University
publishDate	2021
url	http://hdl.handle.net/10361/14990
work_keys_str_mv	AT tahsinmdakil identificationandcomparisonoffactorsbehindmentalturbulenceofpublicandprivateuniversitystudents AT hannansumaiya identificationandcomparisonoffactorsbehindmentalturbulenceofpublicandprivateuniversitystudents AT shifafabiharumman identificationandcomparisonoffactorsbehindmentalturbulenceofpublicandprivateuniversitystudents
_version_	1814308068231479296

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

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