GitHub repository: D0nTranVN/Home-Credit-Default-Risk
Primary language: Jupyter Notebook
Description: My goal in this project is about predicting payment behavior of clients from applications. I used my financial knowledge to solve the missing values ​​of the observations. Then use a combination of the KNN (Local Outlier Factors) algorithm and the legal framework on consumer credit in Vietnam to eliminate outliers. Finally, I use KNeighborsClassifier to predict the payment behavior of clients from the application. AUC score: ~0.76