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.

Podrobná bibliografie
Hlavní autoři: Ullas, Md Tahmidur Rahman, Begom, Mariyam, Ahmed, Anamika, Sultana, Raihan
Další autoři: Alam, Md. Ashraful
Médium: Diplomová práce
Jazyk:English
Vydáno: BRAC University 2019
Témata:
Machine learning
Depression
Anxiety
Support vector machine
Linear regression
Data mining.
Machine learning.
On-line přístup:http://hdl.handle.net/10361/12274

Internet

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

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