Python, Data Science, Data Analysis, Pandas, Data Analytics.
data['Age_Income_Interaction'] = data['Age'] * data['Income'] # Example: Generate polynomial and interaction features. from sklearn.preprocessing import PolynomialFeatures poly = PolynomialFeatures(degree=2) data_poly = poly.fit_transform(data[['Feature1', 'Feature2']]) # Example: Average income by