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.

Détails bibliographiques
Auteurs principaux: Ullas, Md Tahmidur Rahman, Begom, Mariyam, Ahmed, Anamika, Sultana, Raihan
Autres auteurs: Alam, Md. Ashraful
Format: Thèse
Langue:English
Publié: BRAC University 2019
Sujets:
Machine learning
Depression
Anxiety
Support vector machine
Linear regression
Data mining.
Machine learning.
Accès en ligne:http://hdl.handle.net/10361/12274

Internet

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

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