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.
Diese Übung ist Teil des Kurses
Preprocessing for Machine Learning in Python
Anleitung zur Übung
- Calculate the variance in the
secondsandminutescolumns and take a close look at the results. - Perform log normalization on the
secondscolumn, transforming it into a new column namedseconds_log. - Print out the variance of the
seconds_logcolumn.
Interaktive Übung
Versuche dich an dieser Übung, indem du diesen Beispielcode vervollständigst.
# Check the variance of the seconds and minutes columns
print(____)
# Log normalize the seconds column
ufo["seconds_log"] = ____
# Print out the variance of just the seconds_log column
print(____)