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How to Deal with Empty Values

When working with large data sets, you will potentially come across null or empty values. Here are a few ways to deal with them:

  1. Delete them – Remove the whole data point together as long as it is not too important to keep.
  2. Replace them – Use the mean, median, or mode of the data set (or something else entirely).
  3. Keep them – Some machine learning models are capable of handling null values effortlessly.

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