Removing features without variance
A sample of the Pokemon dataset has been loaded as pokemon_df. To get an idea of which features have little variance you should use the IPython Shell to calculate summary statistics on this sample. Then adjust the code to create a smaller, easier to understand, dataset.
This exercise is part of the course
Dimensionality Reduction in Python
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Remove the feature without variance from this list
number_cols = ['HP', 'Attack', 'Defense', 'Generation']