Predicting Customer Churn with ML Classification Models
Built time-series XGBoost and RandomForest classification models to predict individual customer churn in a bank's wealth management business unit.
Jan 12, 2025
Predicting Lending Club Loan Defaults with Machine Learning
Build and deploy ML models to predict Lending Club loan defaults and optimize a high-IRR portfolio, with interactive EDA, Flask API, and Dash apps.
Jan 15, 2022
Predicting House Prices with Stacked ML
Build stacked models on the Ames Housing dataset to predict SalePrice with rigorous cleaning, feature engineering, RFE, and stacking.
Jan 8, 2022