A supervised learning approach by machine learning and deep learning algorithms to predict type II DM risk

A supervised learning approach by machine learning and deep learning algorithms to predict type II DM risk

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2019.

Bibliografski detalji
Glavni autori: Farabe, Abdullah Al, Sharika, Tarin Sultana, Raonak, Nahian, Ashraf, Ghalib
Daljnji autori: Chakrabarty, Amitabha
Format: Disertacija
Jezik:English
Izdano: Brac University 2021
Teme:
Linear Discriminant Analysis (LDA)
Logistic regression
Random forest
Decision tree
KNN and CNN
Machine learning.
Computer algorithms.
Online pristup:http://hdl.handle.net/10361/14745

Internet

http://hdl.handle.net/10361/14745

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