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.

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<Kurs>Intermediate Predictive Analytics in Python</Kurs>

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Übungsanweisungen

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.

Interaktive praktische Übung

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# 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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