Choosing Features and Polynomial Regression

Choosing Features and Polynomial Regression

Choosing Features:

When doing gradient descent, we can create new features or combine existing features into 1 feature depends on what insight you have for this problem

Polynomial regression:

Instead of using linear model, we can use quadratic or any other polynomials that fit better.
Feature scaling is very important

Knowing the shape of a function many times help choosing a better feature:

Remember: you have a choice in what feature(s) to use Choose wisely :)

Resource:

- https://www.coursera.org/learn/machine-learning/lecture/Rqgfz/features-and-polynomial-regression