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.

Библиографические подробности
Главные авторы: Ullas, Md Tahmidur Rahman, Begom, Mariyam, Ahmed, Anamika, Sultana, Raihan
Другие авторы: Alam, Md. Ashraful
Формат: Диссертация
Язык:English
Опубликовано: BRAC University 2019
Предметы:
Machine learning
Depression
Anxiety
Support vector machine
Linear regression
Data mining.
Machine learning.
Online-ссылка:http://hdl.handle.net/10361/12274

Internet

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

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