This is a course-work independent project I worked on in Fall 2021 MSc semester.
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Updated
Jan 7, 2022 - R
This is a course-work independent project I worked on in Fall 2021 MSc semester.
Credit risk analysis: based on the number of family dependents and the duration of the month's loan, classify the credit rating or risk rating using the decision tree method (C50 with R).
Credit risk analysis using the LASSO, Random Forests and the SMOTE technique for balancing
Developing a simple practical implementation of a credit risk model
Creating an India credit risk(default) Logistic Regression model
This project is about credit risk measurement for a bank. The project entailed a comprehensive analysis of client default tendencies relative to their backgrounds using advanced classification models, providing actionable insights by model comparison and refinement.
The determinants of credit default - logistic regression.
Credit default risk data science competition.
Comparison of Machine Learning Methods on a Sample of Bank Customers When Estimating Probability of Default Status
A hybrid classification and prediction model for credit risk analysis in R
Accompanying code for the paper titled Anti Discrimination Laws AI and Gender Bias A Case Study in Nonmortgage Fintech Lending
Research Project in the area of Deep Learning applied to credit risk. This model achieved better results compared to other published papers. This project is focused on the Fintech industry.
An R package for building state transition matrices
Repository for the course 'Financial Risk' at Gothenburg University
This project commissions to examine the 100,000 credit card application data, detect abnormality and potential fraud in the dataset. All data manipulation and analysis are conducted in R. Featured analysis methods include Principal Component Analysis (PCA), Heuristic Algorithm and Autoencoder.
Credit scoring modeling toolbox based on R
Monotonic Optimal Binning in Consumer Credit Risk Scorecard Development
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