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.
Diese Übung ist Teil des Kurses
Dimensionality Reduction in Python
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