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  3. Preprocessing for Machine Learning in Python

Exercise

Identifying features for standardization

In this exercise, you'll investigate the variance of columns in the UFO dataset to determine which features should be standardized. After taking a look at the variances of the seconds and minutes column, you'll see that the variance of the seconds column is extremely high. Because seconds and minutes are related to each other (an issue we'll deal with when we select features for modeling), let's log normalize the seconds column.

Instructions

100 XP
  • Calculate the variance in the seconds and minutes columns and take a close look at the results.
  • Perform log normalization on the seconds column, transforming it into a new column named seconds_log.
  • Print out the variance of the seconds_log column.