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.

書誌詳細
主要な著者:	Farabe, Abdullah Al, Sharika, Tarin Sultana, Raonak, Nahian, Ashraf, Ghalib
その他の著者:	Chakrabarty, Amitabha
フォーマット:	学位論文
言語:	English
出版事項:	Brac University 2021
主題:	Linear Discriminant Analysis (LDA) Logistic regression Random forest Decision tree KNN and CNN Machine learning. Computer algorithms.
オンライン･アクセス:	http://hdl.handle.net/10361/14745

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