Exercise

Selecting relevant features

In this exercise, you'll identify the redundant columns in the volunteer dataset, and perform feature selection on the dataset to return a DataFrame of the relevant features.

For example, if you explore the volunteer dataset in the console, you'll see three features which are related to location: locality, region, and postalcode. They contain related information, so it would make sense to keep only one of the features.

Take some time to examine the features of volunteer in the console, and try to identify the redundant features.

Instructions

100 XP
  • Create a list of redundant column names and store it in the to_drop variable:
    • Out of all the location-related features, keep only postalcode.
    • Features that have gone through the feature engineering process are redundant as well.
  • Drop the columns in the to_drop list from the dataset.
  • Print out the .head() of volunteer_subset to see the selected columns.