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.

Dettagli Bibliografici
Autori principali:	Turjo, Aquib Abtahi, Karim, S.M. Mynul, Biswas, Tausif Hossain, Rahman, Yeaminur, Dewan, Ifroim
Altri autori:	Hossain, Muhammad Iqbal
Natura:	Tesi
Lingua:	English
Pubblicazione:	Brac University 2021
Soggetti:	Credit Risk Loan Machine Learning Regression Model Gradient Boosting Deep Learning Neural Networks Support Vector Random Forest
Accesso online:	http://hdl.handle.net/10361/15189

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