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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14

Issue per Year : 12

Volume Published : 8

Issue Published : 88

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Paper Title: HIGHER EDUCATION RECOMMENDATION SYSTEM USING XG-BOOST ALGORITHM
Authors Name: JANAGANI NITHIN REDDY , GUNDLA VARSHITH KUMAR , PARVATHALA SHASHIDHAR REDDY , BATTA GOVARDHAN , Mrs.R.C.Dyana Priyatharsini
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IJRTI_186179
Published Paper Id: IJRTI2304188
Published In: Volume 8 Issue 4, April-2023
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Abstract: In many agencies, system mastering strategies are used to analyze large amounts of to be had records, supplying data for choice-making procedures. In the field of training, system getting to know is used for a diffusion of programs which include suggestions for college kids in tenth grade and application. One of the most important milestones in someone's existence is introspection, important wondering and finally you make a decision. In this newsletter, we present the outcomes of our findings approximately what instructional decisions rely and what variables are worried in them. Using gadget learning algorithms we have predicted publications/establishments in real case look at decision support. Career alternatives are encouraged through the opinions of parents, buddies, relatives, instructors and the media. Today, with greater choices and ever-increasing opposition, you want to reflect onconsideration on your existence accurately and as soon as feasible. While deciding on a flow after tenth, look at route or career and twelfth institution, you want to know your strengths, pursuits and character. In addition, you ought to gather records approximately distinct career alternatives, eligibility criteria, institutes/colleges and other choice criteria and commercial enterprise markets. The modern device from the Department of Education, in various institutions and expert ranks and institutions, is to be had through aggressive examinations after grades 10 and 12, targets to provide you with lots necessary facts
Keywords: XGBoost , K-means, KNN
Cite Article: "HIGHER EDUCATION RECOMMENDATION SYSTEM USING XG-BOOST ALGORITHM", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.8, Issue 4, page no.1152 - 1159, April-2023, Available :http://www.ijrti.org/papers/IJRTI2304188.pdf
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ISSN: 2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publication Details: Published Paper ID: IJRTI2304188
Registration ID:186179
Published In: Volume 8 Issue 4, April-2023
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Page No: 1152 - 1159
Country: chennai, TAMIL NADU, INDIA
Research Area: Engineering
Publisher : IJ Publication
Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2304188
Published Paper PDF: https://www.ijrti.org/papers/IJRTI2304188
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED
Journal Starting Year (ESTD) : 2016

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