Exercise: Dimensionality Reduction

This workflow applies the following dimensionality reduction techniques to the data: - Filtering out columns with a low variance - Filtering out one of two columns with a high linear correlation - Replacing numeric columns with principal components - Filtering out columns which are not important in predicting the target column

This is a companion discussion topic for the original entry at https://kni.me/w/jrbMeUzjSROUX5GO