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.

Podrobná bibliografie
Hlavní autoři: Farabe, Abdullah Al, Sharika, Tarin Sultana, Raonak, Nahian, Ashraf, Ghalib
Další autoři: Chakrabarty, Amitabha
Médium: Diplomová práce
Jazyk:English
Vydáno: Brac University 2021
Témata:
Linear Discriminant Analysis (LDA)
Logistic regression
Random forest
Decision tree
KNN and CNN
Machine learning.
Computer algorithms.
On-line přístup:http://hdl.handle.net/10361/14745

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