Student Academic Progression Using Machine Learning Algorithms: An Investigation on Predicting Academic Progression of Students Using Machine Learning Algorithms - Softcover
Synopsis
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. The objective of this book is to classify the students based on their Grade Point Average (GPA) and predicting their performance based on their previous academic history and other influential factors.An Improved Random Forest algorithm is proposed in this book to predict the student performance.
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Student Academic Progression Using Machine Learning Algorithms
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LAP LAMBERT Academic Publishing Jul 2022, 2022
ISBN 10: 6204982567
ISBN 13: 9786204982564
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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Taschenbuch. Condition: 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. The objective of this book is to classify the students based on their Grade Point Average (GPA) and predicting their performance based on their previous academic history and other influential factors.An Improved Random Forest algorithm is proposed in this book to predict the student performance. 168 pp. Englisch. Seller Inventory # 9786204982564
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Student Academic Progression Using Machine Learning Algorithms: An Investigation on Predicting Academic Progression of Students Using Machine Learning Algorithms
Published by
LAP LAMBERT Academic Publishing, 2022
ISBN 10: 6204982567
ISBN 13: 9786204982564
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Student Academic Progression 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: 6204982567
ISBN 13: 9786204982564
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Student Academic Progression Using Machine Learning Algorithms
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ISBN 10: 6204982567
ISBN 13: 9786204982564
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Condition: 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. Seller Inventory # 668857127
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Student Academic Progression Using Machine Learning Algorithms: An Investigation on Predicting Academic Progression of Students Using Machine Learning Algorithms
Published by
LAP LAMBERT Academic Publishing, 2022
ISBN 10: 6204982567
ISBN 13: 9786204982564
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Student Academic Progression Using Machine Learning Algorithms | An Investigation on Predicting Academic Progression of Students Using Machine Learning Algorithms
Published by
LAP LAMBERT Academic Publishing, 2022
ISBN 10: 6204982567
ISBN 13: 9786204982564
New
Taschenbuch
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Taschenbuch. Condition: Neu. Student Academic Progression 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 9786204982564 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Seller Inventory # 122703351
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Student Academic Progression Using Machine Learning Algorithms
Published by
LAP LAMBERT Academic Publishing Jul 2022, 2022
ISBN 10: 6204982567
ISBN 13: 9786204982564
New
Taschenbuch
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: 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. The objective of this book is to classify the students based on their Grade Point Average (GPA) and predicting their performance based on their previous academic history and other influential factors.An Improved Random Forest algorithm is proposed in this book to predict the student performance.Books on Demand GmbH, Überseering 33, 22297 Hamburg 168 pp. Englisch. Seller Inventory # 9786204982564
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Student Academic Progression Using Machine Learning Algorithms : An Investigation on Predicting Academic Progression of Students Using Machine Learning Algorithms
Published by
LAP LAMBERT Academic Publishing, 2022
ISBN 10: 6204982567
ISBN 13: 9786204982564
New
Taschenbuch
Seller: AHA-BUCH GmbH, Einbeck, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: 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. The objective of this book is to classify the students based on their Grade Point Average (GPA) and predicting their performance based on their previous academic history and other influential factors.An Improved Random Forest algorithm is proposed in this book to predict the student performance. Seller Inventory # 9786204982564