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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, 2022
ISBN 10: 620498392X
ISBN 13: 9786204983929
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Tapa blanda
Librería: moluna, Greven, Alemania
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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
Cantidad disponible: Más de 20 disponibles
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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
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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
Cantidad disponible: 2 disponibles
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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
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Librería: AHA-BUCH GmbH, Einbeck, Alemania
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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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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: 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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Tapa blanda
Librería: Biblios, Frankfurt am main, HESSE, Alemania
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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
Calificación del vendedor: 5 de 5 estrellas
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
Cantidad disponible: 2 disponibles