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.

Bibliografiska uppgifter
Huvudupphovsmän: Turjo, Aquib Abtahi, Karim, S.M. Mynul, Biswas, Tausif Hossain, Rahman, Yeaminur, Dewan, Ifroim
Övriga upphovsmän: Hossain, Muhammad Iqbal
Materialtyp: Lärdomsprov
Språk:English
Publicerad: Brac University 2021
Ämnen:
Credit Risk
Loan
Machine Learning
Regression Model
Gradient Boosting
Deep Learning
Neural Networks
Support Vector
Random Forest
Länkar:http://hdl.handle.net/10361/15189

Internet

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

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