This assignment covers Questions 3, 5, 6, and 9 from Chapter 5 of An Introduction to Statistical Learning with Applications in R. The exercises focus on resampling methods, particularly cross-validation and the bootstrap, and demonstrate how these techniques can be used to evaluate model performance and estimate uncertainty. The analysis applies resampling techniques in R, including validation-set approaches, leave-one-out cross-validation (LOOCV), k-fold cross-validation, and bootstrap methods.

Seminario de Investigación I Cuantitativo (Diabetes)

Analysis Report Three for MBA 673. Includes SQL queries, R visualizations, and recommendations based on the MIMIC-Ill database examining healthcare provider interactions with Electronic Health Records.