This portfolio presents my work for Statistical Modeling 1 using the Airbnb listings dataset. It includes exploratory data analysis, multiple regression, multinomial logistic regression, Poisson regression, and a LASSO model. Each section connects the modeling choices to the course objectives and explains the results in clear, accessible language. The portfolio highlights how I applied probability, inference, GLMs, cross-validation, and tidymodels workflows to answer practical questions from the data.

Description Here’s a simple, professional description you can paste: This report analyzes the Auto dataset from the ISLR2 package to predict car acceleration using cross-validated linear models. I compare single-predictor models, perform forward selection using 5-fold cross-validation, identify the most useful predictors, and evaluate the final model using RMSE and prediction plots.