The first regression model that comes to our mind is linear regression. Does it mean fitting data points using a linear function, as its name implies? Let's explore it.
Estimating with linear regression
How does linear regression work?
In simple terms, linear regression tries to fit as many of the data points as possible with a line in two-dimensional space or a plane in three-dimensional space, and so on. It explores the linear relationship between observations and targets and the relationship is represented in a linear equation or weighted sum function. Given a data sample x with n features, x1, x2, …, xn (x represents a feature vector and x = (x1, x2, …, xn)), and weights (also called coefficients) of...
