Data Science, Machine Learning, Artificial Intelligence, Technology, Cybersecurity.
training encoder = LabelEncoder() X = data.drop(['Name', 'Birthdate', 'SSN'], axis=1) X['Religion'] = encoder.fit_transform(X['Religion']) y = (X['Age'] > 50).astype(int) # Synthetic binary labels: 1 if age > 50, otherwise 0 # Split the data into training and testing train_indices =