Q10. Suppose we are going to apply multivariate Linear Regression to predict the house price based on two features. x₁ = age of the house (0-40) x₂ = quality of neighbouring schools (0 - 3) h(0) = 0 + 0₁x₁ + 0₂x₂ Suggest one way to scale the features. Describe what will happen if feature scaling is not performed before the training process is conducted.

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Q10.
price based on two features.
Suppose we are going to apply multivariate Linear Regression to predict the house
x1 = age of the house (0 – 40)
x2 = quality of neighbouring schools (0 – 3)
h(8) = 0, + 8,x1 + 02x2
Suggest one way to scale the features. Describe what will happen if feature scaling is not performed
before the training process is conducted.
Transcribed Image Text:Q10. price based on two features. Suppose we are going to apply multivariate Linear Regression to predict the house x1 = age of the house (0 – 40) x2 = quality of neighbouring schools (0 – 3) h(8) = 0, + 8,x1 + 02x2 Suggest one way to scale the features. Describe what will happen if feature scaling is not performed before the training process is conducted.
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