Finance, Risk Analytics, Data Science, Machine Learning.
deviation for each feature std_dev = np.std(X, axis=0) # Subtract the mean from each data point and divide by the standard deviation # This centers the data around zero and scales it to have unit variance X_standardized = (X - mean) / std_dev # Convert the standardized data back to a DataFrame