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.

Dettagli Bibliografici
Autori principali: Ullas, Md Tahmidur Rahman, Begom, Mariyam, Ahmed, Anamika, Sultana, Raihan
Altri autori: Alam, Md. Ashraful
Natura: Tesi
Lingua:English
Pubblicazione: BRAC University 2019
Soggetti:
Machine learning
Depression
Anxiety
Support vector machine
Linear regression
Data mining.
Machine learning.
Accesso online:http://hdl.handle.net/10361/12274

Accesso online

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

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