Diagnosis of cervical cancer using effective hybrid model in Bangladesh

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021.

Bibliographic Details
Main Authors:	Saad-Ul-Kabir, Syed, Neeha, Ashwaq Noor, Ibnat, Rifah Nanjiba, Prottasha, Tanjila Haque, Ananna, Sadika Rahman
Other Authors:	Islam, Md. Saiful
Format:	Thesis
Language:	English
Published:	Brac University 2021
Subjects:	Cervical Cancer K-Nearest Neighbor Hybrid Machine Learning Demography Stochastic Gradient Descent Recurrent Neural Network Support Vector Machine Random Forest Naive Bayes AdaBoost Cervical cancer
Online Access:	http://hdl.handle.net/10361/15163

Description
Summary:	This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021.

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