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.

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Ullas, Md Tahmidur Rahman, Begom, Mariyam, Ahmed, Anamika, Sultana, Raihan
Άλλοι συγγραφείς: Alam, Md. Ashraful
Μορφή: Thesis
Γλώσσα:English
Έκδοση: BRAC University 2019
Θέματα:
Machine learning
Depression
Anxiety
Support vector machine
Linear regression
Data mining.
Machine learning.
Διαθέσιμο Online:http://hdl.handle.net/10361/12274

Διαδίκτυο

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

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