Creating dummies from a many-categories variable
Given is a basetable with one predictive variable "country". Make sure that "country" can be used as a predictive variable in a logistic regression model by creating dummy variables for it.
Questo esercizio fa parte del corso
Intermediate Predictive Analytics in Python
Istruzioni dell'esercizio
- Create a pandas dataframe
dummies_countrythat has the dummy variables for "country". Make sure you avoid multicollinearity. - Add these dummies to the original
basetable. - Remove the original variable "country" from the
basetable.
Esercizio pratico interattivo
Prova a risolvere questo esercizio completando il codice di esempio.
# Create the dummy variable
dummies_country = ____.____(____["____"], ____=____)
# Add the dummy variable to the basetable
basetable = ____.____([____, ____], ____=____)
# Delete the original variable from the basetable
____ ____["____"]
print(basetable.head())