A machine learning approach to detect depression and anxiety using supervised learning

A machine learning approach to detect depression and anxiety using supervised learning

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2019.

Detalhes bibliográficos
Main Authors: Ullas, Md Tahmidur Rahman, Begom, Mariyam, Ahmed, Anamika, Sultana, Raihan
Outros Autores: Alam, Md. Ashraful
Formato: Thesis
Idioma:English
Publicado em: BRAC University 2019
Assuntos:
Machine learning
Depression
Anxiety
Support vector machine
Linear regression
Data mining.
Machine learning.
Acesso em linha:http://hdl.handle.net/10361/12274

Internet

http://hdl.handle.net/10361/12274

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