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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.
Lasya_Margi
Analytical Minds Project
Kennesaw State University, USA
assignment 6
Project 2
ETR537_FinalProject_XGD
Linh Le - DV lab 15
Heatmap y PCA
Heatmap y análisis de componentes principales de base de datos de miRNAs - actividad de portafolio metabolómica
Linh Le - DV lab 14
LM