This project analyzes home credit default risk datasets from Kaggle competition, engineer & select features, splits into training and testing set, and predicts the risk of credit application.
- Data Analysis
- Data Collection
- Data Cleaning
- Feature Engineering
- Feature Selection
- Data Preprocessing
- Data Splitting
- Data Modeling
- Model Evaluation
- Prepare Output
Datasets from: https://www.kaggle.com/c/home-credit-default-risk