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Predicting academic performance and identifying At-Risk students using machine learning in higher education/ Sara Arshad,

By: Arshad, Sara Contributor(s): Supervisor: Dr Arham Muslim Material type: Text

TextIslamabad : SEECS, NUST, 2023Description: 100 p. ; 30 cmSubject(s): MS- Innovative Technologies in LearningDDC classification: 200 Online resources: Click here to access online

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Item type	Current location	Home library	Shelving location	Call number	Status	Date due	Barcode	Item holds
Soft Copy	Central Library (CL)	Central Library (CL)	Thesis	200 (Browse shelf)	Available		CL-T-6755

Total holds: 0

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