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  3. Dimensionality Reduction in R

Exercise

Create a low-variance filter

In this exercise, you are given house_sales_df which contains seventeen continuous features. Some of those features do not have any variance. Some of them have very little variance. You will explore the variances and establish a filter using an appropriate variance threshold. This approach is useful for reducing dimensions with little to no information, but as you'll see, it has a few drawbacks.

The tidyverse and tidymodels packages have been loaded for you.

Instructions 1/3

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  • Calculate the feature variances in house_sales_df.