Mobile sensors based human activity recognition using machine learning with explainable ML

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021.

Bibliografiska uppgifter
Huvudupphovsmän:	Rahman, Raihan, Osdi, Shafin Jami, Till, Sadia Sidran
Övriga upphovsmän:	Rahman, Md. Khalilur
Materialtyp:	Lärdomsprov
Språk:	English
Publicerad:	Brac University 2021
Ämnen:	SHAPE (SHapley Additive exPlanation) Machine Learning LIME (Local Interpretable Model-Agnostic Explanations) Neural Network Explainable ML Machine learning.
Länkar:	http://hdl.handle.net/10361/14963

Beskrivning
Sammanfattning:	This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021.

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