Exercise

# Using PCA

Let's apply PCA to the `wine`

dataset, to see if we can get an increase in our model's accuracy.

Instructions

**100 XP**

- Set up the
`PCA`

object. You'll use PCA on the wine dataset minus its label for`Type`

, stored in the variable`wine_X`

. - Apply PCA to
`wine_X`

using`pca`

's`fit_transform`

method and store the transformed vector in`transformed_X`

. - Print out the
`explained_variance_ratio_`

attribute of`pca`

to check how much variance is explained by each component.