机器学习-线性回归

一切从头开始。

示例

import numpy as np
import matplotlib.pyplot as plt

x_val = np.linspace(0,10,100)
A = 2.5
b = -5
y_real = A * x_val + b
y_val = y_real + np.random.normal(0,1,100)

plt.plot(x_val,y_val,'o',label = 'Data')
plt.plot(x_val,y_real,'r-',label = 'Best fit Line',linewidth = 3)

plt.legend(loc = 'upper left')
plt.show()