Comparative analysis and implementation of credit risk prediction through distinct machine learning models

Comparative analysis and implementation of credit risk prediction through distinct machine learning models

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

Detalles Bibliográficos
Autores principales: Turjo, Aquib Abtahi, Karim, S.M. Mynul, Biswas, Tausif Hossain, Rahman, Yeaminur, Dewan, Ifroim
Otros Autores: Hossain, Muhammad Iqbal
Formato: Tesis
Lenguaje:English
Publicado: Brac University 2021
Materias:
Credit Risk
Loan
Machine Learning
Regression Model
Gradient Boosting
Deep Learning
Neural Networks
Support Vector
Random Forest
Acceso en línea:http://hdl.handle.net/10361/15189

Internet

http://hdl.handle.net/10361/15189

Ejemplares similares