Alfonso Iodice D'Enza other webpage
A quick intro to tidyverse for data manipulation and visualization in R
Tidy data manipulation and visualization
Slides illustrating SL instroductory topics, mostly (but not exclusively) based on the book: An introduction to Statistical Learning. The slides contain examples from the book, reproduced via tidymodels. Content-related comments and advices are more than welcome.
Some more SL related material
On the bias/variance trade-off
Using synthetic data to explicitely compute the bias, the variance, the expected test MSE.
On the output of the MASS::lda()
The output of the function for linear discriminant analysis is based on Fisher’s Discriminant Analysis, and this differs from the computations described in the book An Introduction to Statistical Learning.