Analyzing Boston Home Values
For my statistical machine learning class, I analyzed Boston home values using various regression, classification, and clustering techniques, such as LASSO, logistic LASSO, random forests, and k-means clustering.
A collection of my projects
For my statistical machine learning class, I analyzed Boston home values using various regression, classification, and clustering techniques, such as LASSO, logistic LASSO, random forests, and k-means clustering.
For my second correlated data mini project, my group analyzed median home values in Ramsey County census tracts using conditional and simultaneous autoregressive models to account for spatial correlation, and we compared their outputs using a Moran’s I test.
For my first correlated data mini project, my group used generalized estimating equations to analyze how education affects processing speed using data from the ACTIVE study.
For my Bayesian statistics capstone, my group analyzed domestic box office revenue using Bayesian regression and Bayesian network analysis to see the difference in model output between a vague versus an informative prior.