Student Academic Progression Using Machine Learning Algorithms: An Investigation on Predicting Academic Progression of Students Using Machine Learning Algorithms - Softcover

J., Sujith

 
9786204982564: Student Academic Progression Using Machine Learning Algorithms: An Investigation on Predicting Academic Progression of Students Using Machine Learning Algorithms
Softcover
ISBN 10: 6204982567 ISBN 13: 9786204982564
Verlag: LAP LAMBERT Academic Publishing, 2022

Inhaltsangabe

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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Über die Autorin bzw. den Autor

Sujith Jayaprakash is a highly motivated business development professional with a strong background in IT Training and administration. He has over a decade of experience in the education sectors in India, Africa and Latin America with significant experience in Senior Management roles and leading institutional academic delivery improvement.

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Verlag
LAP LAMBERT Academic Publishing
Erscheinungsdatum
2022
Sprache
Englisch
ISBN 10 
6204982567
ISBN 13 
9786204982564
Einband
Taschenbuch
Anzahl der Seiten
168
Kontakt zum Hersteller
Nicht verfügbar
Verantwortliche Person
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