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Paper Title: A Student Performance Prediction and Course Recommendation System
Authors Name: Supriya Deepak Tupe
Unique Id: IJRTI1908015
Published In: Volume 4 Issue 8, August-2019
Abstract: Automatic detection of student's degree performance to help them cope up with failures and dropouts has become a very essential need. Using past performances of students in previous semesters, a student of a degree course is categorized best or lowest into 3 categories Theory, Testing and practical So that he/ she would focus on those particular categories in the next semesters. Also, Students are recommended as to which elective subject he/she should opt for based on those results for better scores.
Keywords: Clustering, Collaborative Filtering, Ensemble learning, Fuzzy rules, Matrix Factorization
Cite Article: "A Student Performance Prediction and Course Recommendation System", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.4, Issue 8, page no.67 - 71, August-2019, Available :http://www.ijrti.org/papers/IJRTI1908015.pdf
Downloads: 0001033
Publication Details: Published Paper ID: IJRTI1908015
Registration ID:180981
Published In: Volume 4 Issue 8, August-2019
DOI (Digital Object Identifier):
ISSN Number: 2456 - 3315
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