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A Machine Learning Approach to Find Students’ Satisfaction From Home Vs Hostel in Bangladesh

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dc.contributor.author Nooder, Jarin
dc.contributor.author Mahbuba, Ashrarfi
dc.date.accessioned 2021-07-13T06:01:00Z
dc.date.available 2021-07-13T06:01:00Z
dc.date.issued 2021-01-31
dc.identifier.uri http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/5909
dc.description.abstract Students are the backbone of a nation. We have to offer them the best requirements they need for their study. Among all these needs, the most important one is where they can get the perfect atmosphere as per their requirements. Our research title “MACHINE LEARNING APPROACH TO FIND STUDENTS’ SATISFACTION FROM HOME VS HOSTEL IN BANGLADESH” focuses on finding out the best place to study among the students living with their parents and those in hostels. This study also concentrates on factors like the living environment with learning resources and facilities of students. 400 students' responses were measured through adapted questionnaires from different schools, colleges, universities, and recently graduated students. The results of the analysis reveal that students prefer a home as it is safe and comfortable for living and study. We have used many algorithm techniques but we preferred the Logistics Regression Algorithm the most for this research as we have got the best accuracy rate in this. So we can say that students prefer home mostly. en_US
dc.language.iso en_US en_US
dc.publisher Daffodil International University en_US
dc.subject User satisfaction en_US
dc.subject Classroom learning centers en_US
dc.subject Distance education en_US
dc.title A Machine Learning Approach to Find Students’ Satisfaction From Home Vs Hostel in Bangladesh en_US
dc.type Other en_US

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