Predicting Global Ranking of Universities Across the World Using Machine Learning Regression Technique.
Digital transformation in the field of education plays a significant role especially when used for analysis of various teaching and learning parameters to predict global ranking index of the universities across the world. Machine learning is a subset of computer science facilitates machine to learn...
| Publicado en: | SHS Web of Conferences Vol. 156; pp. 1 - 5 |
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| Autores principales: | , , , |
| Formato: | Artículo |
| Publicado: |
EDP Sciences
1/13/2023
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=161842475&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 161842475 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 24165182 FT5R jtl: SHS Web of Conferences issn: 24165182 maglogo: N pubinfo: dt: 1/13/2023 vid: 156 pid: 76090 pub: EDP Sciences artinfo: ui: 161842475 10.1051/shsconf/202315604001 ppf: 1 ppct: 4 formats: tig: atl: Predicting Global Ranking of Universities Across the World Using Machine Learning Regression Technique. aug: au: Udupi, Prakash Kumar Dattana, Vishal Netravathi, P.S. Pandey, Jitendra affil: Middle East College, Muscat, Sultanate of Oman Srinivasa University Managalore, India sug: keyword: Classification Clustering Digital Transformation Machine Learning Regression Teaching and Learning ab: Digital transformation in the field of education plays a significant role especially when used for analysis of various teaching and learning parameters to predict global ranking index of the universities across the world. Machine learning is a subset of computer science facilitates machine to learn the data using various algorithms and predict the results. This research explores the Quacquarelli Symonds approach for evaluating global university rankings and develop machine learning models for predicting global rankings. The research uses exploratory data analysis for analysing the dataset and then evaluate machine learning algorithms using regression techniques for predicting the global rankings. The research also addresses the future scope towards evaluating machine learning algorithms for predicting outcomes using classification and clustering techniques. pubtype: Conference Proceedings doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 2023 holdings: @attributes: islocal: N |
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