Jan 2022 - Feb 2022
A state-of-the-art credit scoring and default prediction system for financial service providers with a stack of machine learning algorithms, such as logistic regression, decision tree, random forest and gradient boosting
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Dataset Preparation:
- Dataset Description
- Exploratory Data Analysis
- Data Cleaning
- Feature Engineering
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Model Selection:
- Logistic Regression
- Decision Tree
- Random Forest
- XGBoost
- Conclusion