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Tidy data manipulation and visualization

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.

Linear regression

Classification

Model selection

Non-linear regression

Extra’s

A simple SL flow

SL performance assessment

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.

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