Academic Progression of Students Using Machine Learning Algorithms: An Investigation on Predicting Academic Progression of Students Using Machine Learning Algorithms - Tapa blanda
Sinopsis
Education Data Mining is vividly advancing in the field of research due to the increasing amount of data on a daily basis. EDM deals with extracting meaningful information from the education setting. To analyse and understand the ever-growing education data, Machine learning algorithms are employed to classify and cluster the datasets. Research in this field focuses on understanding the behaviour analysis of students, classifying the students to predict the academic outcome, clustering the students based on various factors that can influence the performance and many more. Many researchers have recommended a recommender system to achieve the goal of identifying and classifying the students based on their performance.
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Academic Progression of Students Using Machine Learning Algorithms
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LAP LAMBERT Academic Publishing Jul 2022, 2022
ISBN 10: 620498392X
ISBN 13: 9786204983929
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Education Data Mining is vividly advancing in the field of research due to the increasing amount of data on a daily basis. EDM deals with extracting meaningful information from the education setting. To analyse and understand the ever-growing education data, Machine learning algorithms are employed to classify and cluster the datasets. Research in this field focuses on understanding the behaviour analysis of students, classifying the students to predict the academic outcome, clustering the students based on various factors that can influence the performance and many more. Many researchers have recommended a recommender system to achieve the goal of identifying and classifying the students based on their performance. 148 pp. Englisch. Nº de ref. del artículo: 9786204983929
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Academic Progression of Students Using Machine Learning Algorithms: An Investigation on Predicting Academic Progression of Students Using Machine Learning Algorithms
Publicado por
LAP LAMBERT Academic Publishing, 2022
ISBN 10: 620498392X
ISBN 13: 9786204983929
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Academic Progression of Students Using Machine Learning Algorithms: An Investigation on Predicting Academic Progression of Students Using Machine Learning Algorithms
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LAP LAMBERT Academic Publishing, 2022
ISBN 10: 620498392X
ISBN 13: 9786204983929
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Academic Progression of Students Using Machine Learning Algorithms: An Investigation on Predicting Academic Progression of Students Using Machine Learning Algorithms
Publicado por
LAP LAMBERT Academic Publishing, 2022
ISBN 10: 620498392X
ISBN 13: 9786204983929
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Academic Progression of Students Using Machine Learning Algorithms
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LAP Lambert Academic Publishing, 2022
ISBN 10: 620498392X
ISBN 13: 9786204983929
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Education Data Mining is vividly advancing in the field of research due to the increasing amount of data on a daily basis. EDM deals with extracting meaningful information from the education setting. To analyse and understand the ever-growing education data. Nº de ref. del artículo: 666651234
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Academic Progression of Students Using Machine Learning Algorithms | An Investigation on Predicting Academic Progression of Students Using Machine Learning Algorithms
Publicado por
LAP LAMBERT Academic Publishing, 2022
ISBN 10: 620498392X
ISBN 13: 9786204983929
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Taschenbuch. Condición: Neu. Academic Progression of Students Using Machine Learning Algorithms | An Investigation on Predicting Academic Progression of Students Using Machine Learning Algorithms | Sujith J | Taschenbuch | Englisch | 2022 | LAP LAMBERT Academic Publishing | EAN 9786204983929 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand. Nº de ref. del artículo: 122465027
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Academic Progression of Students Using Machine Learning Algorithms
Publicado por
LAP LAMBERT Academic Publishing Jul 2022, 2022
ISBN 10: 620498392X
ISBN 13: 9786204983929
Nuevo
Taschenbuch
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
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Taschenbuch. Condición: Neu. Neuware -Education Data Mining is vividly advancing in the field of research due to the increasing amount of data on a daily basis. EDM deals with extracting meaningful information from the education setting. To analyse and understand the ever-growing education data, Machine learning algorithms are employed to classify and cluster the datasets. Research in this field focuses on understanding the behaviour analysis of students, classifying the students to predict the academic outcome, clustering the students based on various factors that can influence the performance and many more. Many researchers have recommended a recommender system to achieve the goal of identifying and classifying the students based on their performance.Books on Demand GmbH, Überseering 33, 22297 Hamburg 148 pp. Englisch. Nº de ref. del artículo: 9786204983929
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Academic Progression of Students Using Machine Learning Algorithms : An Investigation on Predicting Academic Progression of Students Using Machine Learning Algorithms
Publicado por
LAP LAMBERT Academic Publishing, 2022
ISBN 10: 620498392X
ISBN 13: 9786204983929
Nuevo
Taschenbuch
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Education Data Mining is vividly advancing in the field of research due to the increasing amount of data on a daily basis. EDM deals with extracting meaningful information from the education setting. To analyse and understand the ever-growing education data, Machine learning algorithms are employed to classify and cluster the datasets. Research in this field focuses on understanding the behaviour analysis of students, classifying the students to predict the academic outcome, clustering the students based on various factors that can influence the performance and many more. Many researchers have recommended a recommender system to achieve the goal of identifying and classifying the students based on their performance. Nº de ref. del artículo: 9786204983929
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