Linear Regression with Python

Table 1 : House prices dataset
Figure 1 : House prices
Equation 1 : the hypothesis
Equation 2 : The objective function
Figure 2 : Distance between the hypothesis and dataset
Equation 3 : MSE estimator
Figure 3 : J(θ0, θ1) plotting
Loop {
for i = 1 to m {
θ := θ - 𝛂(h(x⁽ⁱ⁾) - y⁽ⁱ⁾)
θ := θ - 𝛂(h(x⁽ⁱ⁾) - y⁽ⁱ⁾)x⁽ⁱ⁾




Software engineer

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