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Imagine you a have dataset with large number of features, Which of the following methods is a dimensionality reduction process you might employ -

  1. Finding the feature importance of each variable and removing the less important features in the model creation process

  2. Removing the columns ( features ) which have a lot of missing values

Chose the right combination -


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