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.

Bibliographische Detailangaben
Hauptverfasser:	Turjo, Aquib Abtahi, Karim, S.M. Mynul, Biswas, Tausif Hossain, Rahman, Yeaminur, Dewan, Ifroim
Weitere Verfasser:	Hossain, Muhammad Iqbal
Format:	Abschlussarbeit
Sprache:	English
Veröffentlicht:	Brac University 2021
Schlagworte:	Credit Risk Loan Machine Learning Regression Model Gradient Boosting Deep Learning Neural Networks Support Vector Random Forest
Online Zugang:	http://hdl.handle.net/10361/15189

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