Machine Learning Week 2: Polynomial Regression
Published in
2 min readDec 25, 2016
When there are multiple features, to better fit our hypothesis function and cost function graph we can combine multiple features into a single one.
For example, if our features are length and breadth of a house then, we can combine the length and breadth and make a new feature called area which will be the multiplication of length and breadth.
There is no reason for our hypothesis function to be just a linear function. It can be a quadratic function or a cubic function or a square root function.
