ECS 171 — Group 10: Credit Card Fraud Detection

Jupyter Notebooks

data_management_v2.ipynb contains data analysis, feature engineering, and feature selection. It turns raw data into data-stage2.csv, which is used by other notebooks.
For the Random Forest model, see random_forest.ipynb.
For the Neural Network model, see hyperparameter_tuning_v2.ipynb and cross_val_v2.ipynb.

The web application containing a React front-end and Flask backend is in web-app folder.

Name		Name	Last commit message	Last commit date
Latest commit History 27 Commits
web-app		web-app
.gitignore		.gitignore
README.md		README.md
confusion_matrix.ipynb		confusion_matrix.ipynb
cross_val_v2.ipynb		cross_val_v2.ipynb
data_management.ipynb		data_management.ipynb
data_management_v2.ipynb		data_management_v2.ipynb
hyperparameter_tuning.ipynb		hyperparameter_tuning.ipynb
hyperparameter_tuning_v2.ipynb		hyperparameter_tuning_v2.ipynb
model-v2.h5		model-v2.h5
random_forest.ipynb		random_forest.ipynb