What is linear regression in machine learning?

Answer 1

Linear regression is a linear system and the coefficients can be calculated analytically using linear algebra. ... Linear regression does provide a useful exercise for learning stochastic gradient descent which is an important algorithm used for minimizing cost functions by machine learning algorithms.

Answer 2

“Linear Regression” is a statistical method to regress the data with dependent variable having continuous values whereas independent variables can have either continuous or categorical values. In other words “Linear Regression” is a method to predict dependent variable (Y) based on values of independent variables (X). It can be used for the cases where we want to predict some continuous quantity.

Equation:

Y = b0+ b1x