hadrienj/preprocessing-data-for-machine-learning-and-deep-learning_code3.py

## preprocessing-data-for-machine-learning-and-deep-learning_code3.py
def calculateCovariance(X):
    meanX = np.mean(X, axis = 0)
    lenX = X.shape[0]
    X = X - meanX
    covariance = X.T.dot(X)/lenX
    return covariance
	def calculateCovariance(X):
	meanX = np.mean(X, axis = 0)
	lenX = X.shape[0]
	X = X - meanX
	covariance = X.T.dot(X)/lenX
	return covariance