Removing features with many missing values
You'll apply feature selection on the Boston Public Schools dataset which has been pre-loaded as school_df
. Calculate the missing value ratio per feature and then create a mask to remove features with many missing values.
This exercise is part of the course
Dimensionality Reduction in Python
Hands-on interactive exercise
Turn theory into action with one of our interactive exercises
