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
Autores principales: Ullas, Md Tahmidur Rahman, Begom, Mariyam, Ahmed, Anamika, Sultana, Raihan
Otros Autores: Alam, Md. Ashraful
Formato: Tesis
Lenguaje:English
Publicado: BRAC University 2019
Materias:
Machine learning
Depression
Anxiety
Support vector machine
Linear regression
Data mining.
Machine learning.
Acceso en línea:http://hdl.handle.net/10361/12274

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