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.

Detaylı Bibliyografya
Asıl Yazarlar: Farabe, Abdullah Al, Sharika, Tarin Sultana, Raonak, Nahian, Ashraf, Ghalib
Diğer Yazarlar: Chakrabarty, Amitabha
Materyal Türü: Tez
Dil:English
Baskı/Yayın Bilgisi: Brac University 2021
Konular:
Linear Discriminant Analysis (LDA)
Logistic regression
Random forest
Decision tree
KNN and CNN
Machine learning.
Computer algorithms.
Online Erişim:http://hdl.handle.net/10361/14745

Internet

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

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