# Idea Fit curves to the data. Note that we often use [[feature engineering]] together with polynomial regression. It is also important to ensure the features are on similar scales (see [[NLP - extract features from vocabulary]]). $f_{\mathbf{w},b} = w_0x_0 + w_1x_1+ ... + w_{n-1}x_{n-1} + b \tag{1}$ ![[Pasted image 20210125200809.png]] # References - [Polynomial regression - Week 2: Regression with multiple input variables | Coursera](https://www.coursera.org/learn/machine-learning/lecture/OnGhN/polynomial-regression)