Home Credit Default Risk - Data Science Project

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.

1. Data Analysis
2. Data Collection
3. Data Cleaning
4. Feature Engineering
5. Feature Selection
6. Data Preprocessing
7. Data Splitting
8. Data Modeling
9. Model Evaluation
10. Prepare Output

Datasets from: https://www.kaggle.com/c/home-credit-default-risk