Log normalization in Python

Now that we know that the Proline column in our wine dataset has a large amount of variance, let's log normalize it.

numpy has been imported as np.

This exercise is part of the course

Preprocessing for Machine Learning in Python

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Exercise instructions

Print out the variance of the Proline column for reference.
Use the np.log() function on the Proline column to create a new, log-normalized column named Proline_log.
Print out the variance of the Proline_log column to see the difference.

Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

# Print out the variance of the Proline column
print(____)

# Apply the log normalization function to the Proline column
wine[____] = np.____(____)

# Check the variance of the normalized Proline column
print(____)

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