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andy01

Andrew

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Predicting Ames Housing Prices with Tidymodels: A Statistical Modeling Portfolio
This portfolio applies multiple statistical models to the Ames Housing dataset using the tidymodels ecosystem. I start with exploratory analysis and data preprocessing, then fit multiple linear, polynomial, lasso, multinomial logistic and Poisson regressions. Cross‑validation and hold‑out testing are used to evaluate each model. I interpret coefficients in plain language, compare performance, and reflect on the modeling process.
Portfolio Project