Section 2

Many features, feature scaling and polynomial regression

Real predictions use more than one input. Vectors and multiple linear regression, vectorised NumPy code, why feature scaling makes gradient descent fast, how to check that training is working, and curved fits with polynomial features. Ends with a from-scratch linear regression lab in NumPy.

• 7 lessons
• 1 h 50 min