linear regression

linregr.py

X = data[:, 0]
y = data[:, 1]


#number of training samples
m = y.size

#Add a column of ones to X (interception data)
it = ones(shape=(m, 2))
it[:, 1] = X

#Initialize theta parameters
theta = zeros(shape=(2, 1))

#Some gradient descent settings
iterations = 1500
alpha = 0.01