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.

Bibliografiska uppgifter
Huvudupphovsmän: Ullas, Md Tahmidur Rahman, Begom, Mariyam, Ahmed, Anamika, Sultana, Raihan
Övriga upphovsmän: Alam, Md. Ashraful
Materialtyp: Lärdomsprov
Språk:English
Publicerad: BRAC University 2019
Ämnen:
Machine learning
Depression
Anxiety
Support vector machine
Linear regression
Data mining.
Machine learning.
Länkar:http://hdl.handle.net/10361/12274

Internet

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

Liknande verk