Caishen: Fraud Detection on 6.3M Transactions
Gradient boosting fraud classifier tuned via GridSearchCV, achieving F1 = 0.741 on a severe class imbalance 6.3M row transaction dataset
Gradient boosting fraud classifier tuned via GridSearchCV, achieving F1 = 0.741 on a severe class imbalance 6.3M row transaction dataset
Interactive Streamlit dashboard predicting NYC Citibike ridership from weather data, with a linear regression model achieving R² of 0.67