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.

Bibliografske podrobnosti
Main Authors:	Farabe, Abdullah Al, Sharika, Tarin Sultana, Raonak, Nahian, Ashraf, Ghalib
Drugi avtorji:	Chakrabarty, Amitabha
Format:	Thesis
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 dostop:	http://hdl.handle.net/10361/14745

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