1.1. Exercises
Categorical Variables
name colour location seed shape sweetness water-content weight popularity
0 apple red canada True round True 84 100 popular
1 banana yellow mexico False long True 75 120 popular
2 cantaloupe orange spain True round True 90 1360 neutral
3 dragon-fruit magenta china True round False 96 600 not popular
4 elderberry purple austria False round True 80 5 not popular
5 fig purple turkey False oval False 78 40 neutral
6 guava green mexico True oval True 83 450 neutral
7 huckleberry blue canada True round True 73 5 not popular
8 kiwi brown china True round True 80 76 popular
9 lemon yellow mexico False oval False 83 65 popular
True or False: Ordinal Encoding
Try Ordinal Encoding Yourself!
Instructions:
Running a coding exercise for the first time could take a bit of time for everything to load. Be patient, it could take a few minutes.
When you see ____ in a coding exercise, replace it with what you assume to be the correct code. Run it and see if you obtain the desired output. Submit your code to validate if you were correct.
Make sure you remove the hash (#) symbol in the coding portions of this question. We have commented them so that the line wonβt execute and you can test your code after each step.
Weβve seen our basketball dataset but have only used the features salary, weight and height. This time, letβs look at the country column and transform it.
Tasks:
- Build an ordinal encoder that uses a
dtypeofintand name itordinal_encoder. - Fit on
X_column, transform it and save the results in an object namedcountry_encoded.