from sklearn.preprocessing import OneHotEncoder data = [['Red'], ['Blue'], ['Green'], ['Red']] # Create an instance of the OneHotEncoder encoder = OneHotEncoder() # Apply one-hot encoding onehot_features = encoder.fit_transform(data).toarray() __ __