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.

Deze oefening maakt deel uit van de cursus

Intermediate Predictive Analytics in Python

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Oefeninstructies

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.

Praktische interactieve oefening

Probeer deze oefening eens door deze voorbeeldcode in te vullen.

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

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

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

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