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Your certificate is now private
![CertificateBackground.png](https://static.wixstatic.com/media/55f531_d6679d5b06e14c81ae07bacb53692d5f~mv2.png/v1/fill/w_714,h_536,al_c,q_90,usm_0.66_1.00_0.01,enc_auto/CertificateBackground.png)
Certificate of Completion
![ErdosHorizontal.png](https://static.wixstatic.com/media/55f531_5a3b8885620c4f25b2d3edeca3ae2158~mv2.png/v1/fill/w_351,h_40,al_c,q_85,usm_0.66_1.00_0.01,enc_auto/ErdosHorizontal.png)
THIS ACKNOWLEDGES THAT
HAS COMPLETED THE SPRING 2022 DATA SCIENCE BOOT CAMP
Amin Idelhaj
Roman Holowinsky, PhD
JUNE 08, 2022
DIRECTOR
DATE
![clear.png](https://static.wixstatic.com/media/55f531_b9f3f13ce3aa4af78af2cc6d3563b81b~mv2.png/v1/fill/w_3,h_3,al_c,lg_1,q_85,enc_auto/clear.png)
TEAM
Rosetta
Amin Idelhaj, Hannah Alpert, Soumya Sankar
![clear.png](https://static.wixstatic.com/media/55f531_b9f3f13ce3aa4af78af2cc6d3563b81b~mv2.png/v1/fill/w_3,h_3,al_c,lg_1,q_85,enc_auto/clear.png)
In this project, we study prediction methods for credit default risk based on past credit history, and minimal demographic data. We analyze the following data set: https://archive.ics.uci.edu/ml/datasets/default+of+credit+card+clients. We compare the area ratios of several models and make recommendations for models and model parameters that have the best predicting power.
![](https://static.wixstatic.com/media/a994932411404ef3bb797ba005125f5d.png/v1/fill/w_45,h_45,al_c,q_85,usm_0.66_1.00_0.01,blur_3,enc_auto/a994932411404ef3bb797ba005125f5d.png)
![](https://static.wixstatic.com/media/a994932411404ef3bb797ba005125f5d.png/v1/fill/w_45,h_45,al_c,q_85,usm_0.66_1.00_0.01,blur_3,enc_auto/a994932411404ef3bb797ba005125f5d.png)
![](https://static.wixstatic.com/media/a994932411404ef3bb797ba005125f5d.png/v1/fill/w_45,h_45,al_c,q_85,usm_0.66_1.00_0.01,blur_3,enc_auto/a994932411404ef3bb797ba005125f5d.png)
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