Python 線性建模入門
Jason Vestuto
Data Scientist
# Mean mean = sum(x)/len(x)
# Deviation, sometimes called "centering" dx = x - np.mean(x)
# Variance variance = np.mean(dx*dx)
# Standard Deviation stdev = np.sqrt(variance)
# Deviations of two variables dx = x - np.mean(x) dy = y - np.mean(y)
# Co-vary means to vary together deviation_products = dx*dy
# Covariance as the mean covariance = np.mean(dx*dy)
# Divide deviations by standard deviation zx = dx/np.std(x) zy = dy/np.std(y)
# Mean of the normalize deviations correlation = np.mean(zx*zy)
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