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import numpy as np?

from numpy.linalg import inv

from numpy import dot

from numpy import mat

import pandas as pd?


dataset = pd.read_csv('data.csv')

print(dataset)


temp = dataset.iloc[:,2:5] #iloc :對(duì)數(shù)組進(jìn)行切片


# X = mat([1,2,3]).reshape(3,1)

# Y = 2*X

# # theta = (X'X)^-1X'Y

# #theta = dot(dot(inv(dot(X.T,X)), X.T),T)

# #theta = theta - alpha*(theta*X-Y)*X


# theta = 1.

# alpha = 0.1

# for i in range(100):

# theta = theta + np.sum(alpha *(Y - dot(X,theta))*X.reshape(1,3))/3.#加權(quán)平均


# print(theta


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