Education content provider based on particular weaknesses of students: a unsupervised machine learning appro

Education content provider based on particular weaknesses of students: a unsupervised machine learning appro

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

Dettagli Bibliografici
Autori principali:	Rahman, Shabab Intishar, Fariha, Tasnim Akter, Haque, Muhammad Nayeem Mubasshirul, Mohammad, Ammar, Ahmed, Shadman
Altri autori:	Noor, Jannatun
Natura:	Tesi
Lingua:	English
Pubblicazione:	Brac University 2024
Soggetti:	Threshold Weaknesses Unsupervised algorithms Associative pattern E-learning sphere Data structures (Computer science) Algorithms
Accesso online:	http://hdl.handle.net/10361/23592

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