Prediction of human activity using machine learning
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2019.
Huvudupphovsmän: | Tisha, Sadia Nasrin, Alvee, Benjir Islam |
---|---|
Övriga upphovsmän: | Chakrabarty, Amitabha |
Materialtyp: | Lärdomsprov |
Språk: | en_US |
Publicerad: |
Brac University
2020
|
Ämnen: | |
Länkar: | http://hdl.handle.net/10361/14055 |
Liknande verk
-
Human Activity Recognition using wearable body sensor by machine learning approach
av: Promi, Sadia Tangim, et al.
Publicerad: (2020) -
An android application to predict human activity using a deep learning LSTM model
av: Sikder, Debabrata
Publicerad: (2024) -
Human activity recognition and authentication system
av: ALam, Md. Zubaer
Publicerad: (2024) -
Phase Transitions in Machine Learning
av: Lorenza Saitta, Attilio Giordana, Antoine Cornuéjols
Publicerad: (2012) -
Heart disease prediction using machine learning algorithms
av: Ali, Musfiq, et al.
Publicerad: (2019)