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.

Detalles Bibliográficos
Main Authors: Ullas, Md Tahmidur Rahman, Begom, Mariyam, Ahmed, Anamika, Sultana, Raihan
Outros autores: Alam, Md. Ashraful
Formato: Thesis
Idioma:English
Publicado: BRAC University 2019
Subjects:
Machine learning
Depression
Anxiety
Support vector machine
Linear regression
Data mining.
Machine learning.
Acceso en liña:http://hdl.handle.net/10361/12274

Internet

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

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