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.

书目详细资料
Main Authors: Farabe, Abdullah Al, Sharika, Tarin Sultana, Raonak, Nahian, Ashraf, Ghalib
其他作者: Chakrabarty, Amitabha
格式: Thesis
语言:English
出版: Brac University 2021
主题:
Linear Discriminant Analysis (LDA)
Logistic regression
Random forest
Decision tree
KNN and CNN
Machine learning.
Computer algorithms.
在线阅读:http://hdl.handle.net/10361/14745

因特网

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

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