Interpretable MOOC dropout prediction using different Ensemble Methods and XAI

Interpretable MOOC dropout prediction using different Ensemble Methods and XAI

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2023.

Bibliografiska uppgifter
Huvudupphovsmän:	Khan, Labib Hasan, Haque, Mohammed Ashfaqul, Ibrahim, Esaba Ahnaf
Övriga upphovsmän:	Mostakim, Moin
Materialtyp:	Lärdomsprov
Språk:	English
Publicerad:	Brac University 2023
Ämnen:	Machine learning Deep learning MOOC Dropout prediction Ensemble learning Explainable Artificial Intelligence (XAI) Web-based instruction. Teaching > Computer network resources. Education > Computer network resources.
Länkar:	http://hdl.handle.net/10361/19395

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