Creating a dummy from a two-category variable

Given is a basetable with one predictive variable "gender". Make sure that "gender" can be used as a predictive variable in a logistic regression model by creating dummy variables for it.

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Intermediate Predictive Analytics in Python

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Anleitung zur Übung

Create a pandas dataframe dummies_gender that has the dummy variables for "gender". Make sure to avoid multicollinearity.
Add these dummies to the original basetable.
Remove the original variable "gender" from the basetable.

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# Create the dummy variable
dummies_gender = pd.____(____["____"], drop_first=____)

# Add the dummy variable to the basetable
basetable = pd.concat([____, ____], axis=1)

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

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