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.

Dades bibliogràfiques
Autors principals: Ullas, Md Tahmidur Rahman, Begom, Mariyam, Ahmed, Anamika, Sultana, Raihan
Altres autors: Alam, Md. Ashraful
Format: Thesis
Idioma:English
Publicat: BRAC University 2019
Matèries:
Machine learning
Depression
Anxiety
Support vector machine
Linear regression
Data mining.
Machine learning.
Accés en línia:http://hdl.handle.net/10361/12274

Internet

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

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