from sklearn.preprocessing import StandardScaler import numpy as np # Sample Data X = np.array([[1.0, 200.0], [2.0, 300.0], [3.0, 400.0]]) # Initialize Scaler scaler = StandardScaler() # Fit and Transform Data X_scaled = scaler.fit_transform(X) print(X_scaled) __ __