gavwin / credit-defaults

Developed various machine learning models from scratch including k-NN, Decision Trees, Random Forest, Logistic Regression, and Neural Networks to predict credit card defaults.

Credit_Defaults

By: Nicolai Jacobsen, Jacob Kulik, David Pogrebitskiy, Gavin Wainwright

• Written Report: CreditDefaults.docx.pdf

• Raw Data: credit.csv

• Preprocessed Data: balanced_credit.csv

Machine Learning Methods

• 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