Polynomial regression is a process of finding a polynomial function that takes the form f( x ) = c0 + c1 x + c2 x2 ⋯ cn xn where n is the degree of the polynomial and c is a set of coefficients. Through polynomial regression we try to find an nth degree polynomial function which is the closest approximation of our data points. Below is a sample random dataset which has been regressed […]

# Category: Data science

### Multiple Linear Regression with Python on Framingham Heart Study data

Previously we built a simple linear regression model using a single explanatory variable to predict the price of pizza from its diameter. But in the real world the price of pizza cannot be entirely derived from the diameter of its base alone. It also depends on the toppings, which means there are a many more […]