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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
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Paper Title:	Course Recommendation System Using Machine Learning
Authors Name:	M. Jahnavi , Dr. Ch. Suneetha , M. Yashwanth , Naonit Kumar Goutam
Unique Id:	IJSDR2306255
Published In:	Volume 8 Issue 6, June-2023
Abstract:	A computer-based algorithm known as a Course Recommendation System helps students choose courses based on their unique interests, academic skills, and desired careers. Making the appropriate decision during formative years is crucial since the outcome will affect the future. This method uses machine learning algorithms to create a list of courses that most closely fit the user's tastes by analyzing user activity data, including ratings and past search history. To recommend the best courses based on their interests, machine learning algorithms including stemming, count vectorization, and cosine similarity are used. The main objective of this paper is to lighten the workload of the students while maintaining their attention.
Keywords:	Course recommendation, Machine learning, Stemming, Count vectorization, Cosine similarity.
Cite Article:	"Course Recommendation System Using Machine Learning", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 6, page no.1877 - 1881, June-2023, Available :http://www.ijsdr.org/papers/IJSDR2306255.pdf
Downloads:	000337351
Publication Details:	Published Paper ID: IJSDR2306255 Registration ID:207430 Published In: Volume 8 Issue 6, June-2023 DOI (Digital Object Identifier): Page No: 1877 - 1881 Publisher: IJSDR \| www.ijsdr.org ISSN Number: 2455-2631

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