Encoding categorical variables - one-hot
One of the columns in the volunteer dataset, category_desc, gives category descriptions for the volunteer opportunities listed. Because it is a categorical variable with more than two categories, we need to use one-hot encoding to transform this column numerically. Use pandas' pd.get_dummies() function to do so.
Deze oefening maakt deel uit van de cursus
Preprocessing for Machine Learning in Python
Oefeninstructies
- Call
get_dummies()on thevolunteer["category_desc"]column to create the encoded columns and assign it tocategory_enc. - Print out the
.head()of thecategory_encvariable to take a look at the encoded columns.
Praktische interactieve oefening
Probeer deze oefening eens door deze voorbeeldcode in te vullen.
# Transform the category_desc column
category_enc = pd.____(____)
# Take a look at the encoded columns
print(____)