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Student Academic Progression Using by Sujith (8 results)

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  • Language: English

    Published by LAP LAMBERT Academic Publishing, 2022

    6204982567 / 9786204982564

    • Softcover

    Seller: Books Puddle, Woodside, NY, U.S.A.Books Puddle

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  • Language: English

    Published by LAP LAMBERT Academic Publishing, 2022

    6204982567 / 9786204982564

    • Softcover

    Seller: preigu, Osnabrück, Germanypreigu

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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: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.…

  • Language: English

    Published by LAP LAMBERT Academic Publishing Jul 2022, 2022

    6204982567 / 9786204982564

    • Softcover
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    Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.

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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.…

  • Language: English

    Published by LAP LAMBERT Academic Publishing, 2022

    6204982567 / 9786204982564

    • Softcover
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    Seller: Majestic Books, Hounslow, United KingdomMajestic Books

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  • Language: English

    Published by LAP Lambert Academic Publishing, 2022

    6204982567 / 9786204982564

    • Softcover
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    Seller: moluna, Greven, Germanymoluna

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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.…

  • Language: English

    Published by LAP LAMBERT Academic Publishing, 2022

    6204982567 / 9786204982564

    • Softcover
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    Seller: Biblios, frankfurt am main, HESSE, GermanyBiblios

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  • Language: English

    Published by LAP LAMBERT Academic Publishing, 2022

    6204982567 / 9786204982564

    • Softcover
    • Print on Demand

    Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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    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.…

  • Language: English

    Published by LAP LAMBERT Academic Publishing Jul 2022, 2022

    6204982567 / 9786204982564

    • Softcover
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    Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germanybuchversandmimpf2000

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    Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. 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.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 168 pp. Englisch.…