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.

Este ejercicio forma parte del curso

Intermediate Predictive Analytics in Python

Ver curso

Instrucciones del ejercicio

Create a pandas dataframe dummies_country that 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.

Ejercicio interactivo práctico

Prueba este ejercicio completando el código de muestra.

# Create the dummy variable
dummies_country = ____.____(____["____"], ____=____)

# Add the dummy variable to the basetable
basetable = ____.____([____, ____], ____=____)

# Delete the original variable from the basetable
____ ____["____"]
print(basetable.head())

Editar y ejecutar código