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Exercise

Dropping missing data

Over the next three exercises, you are going to tidy the music_df dataset. You will create a pipeline to impute missing values and build a KNN classifier model, then use it to predict whether a song is of the "Rock" genre.

In this exercise specifically, you will drop missing values accounting for less than 5% of the dataset, and convert the "genre" column into a binary feature.

Instructions 1/3

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  • Print the number of missing values for each column in the music_df dataset, sorted in ascending order.