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.
Build stacked models on the Ames Housing dataset to predict SalePrice with rigorous cleaning, feature engineering, RFE, and stacking.
Scrape 22k WSJ articles, run VADER/TextBlob sentiment analysis, and test relationships with reader comments and S\&P 500 returns. Includes an R Shiny app.
An interactive Shiny app to explore NYT COVID-19 case and death data by state, county, and date using bar charts, scatter plots, lollipop charts, and maps.
