-
Written Report:
CreditDefaults.docx.pdf
-
Raw Data:
credit.csv
-
Preprocessed Data:
balanced_credit.csv
- K-Nearest Neighbors:
knn.ipynb
,knn.py
,knn_sklearn.py
,knn_comparison.ipynb
- Logistic Regression:
logistic_regression.ipynb
- Decision Tree:
decision_tree.py
,decision_tree.ipynb
- Random Forest:
random_forest.ipynb
- Neural Network:
neural_network.ipynb