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.

Xehetasun bibliografikoak
Egile Nagusiak: Ullas, Md Tahmidur Rahman, Begom, Mariyam, Ahmed, Anamika, Sultana, Raihan
Beste egile batzuk: Alam, Md. Ashraful
Formatua: Thesis
Hizkuntza:English
Argitaratua: BRAC University 2019
Gaiak:
Machine learning
Depression
Anxiety
Support vector machine
Linear regression
Data mining.
Machine learning.
Sarrera elektronikoa:http://hdl.handle.net/10361/12274

Internet

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

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