Trabajo final del Curso

This model was built using the dataset: https://www.kaggle.com/datasets/fedesoriano/heart-failure-prediction/data

This assignment applies statistical learning techniques to the Default and Boston datasets from the ISLR2 package. It explores k-fold cross-validation and validation set approaches to estimate test error rates. The bootstrap method is used to estimate standard errors for model coefficients and population parameters such as the mean, median, and 10th percentile of medv in the Boston data.