Designing Intelligence with Brains

Linear Regression is one of the best & popular algorithms in Machine Learning for predicting the output of situations before it even occurred. To understand Linear Regression first we have to understand what is Regression problem? What is Regression Problem? Problems occurred in predicting real-valued-output for different-different inputs is called Regression problem. Linear Regression Linear regression is Linear model. i.e, models that assume a linear relationship between the input variables (x) and the single output variable (y). More specifically, that y can be calculated from a linear combination of the input variables (x). When there is a single input variable (x), the method is referred to as simple linear regression. When there are multiple input variables, literature from statistics often refers to the method as multiple linear regression. Different techniques can be used to prepare or train the linear regression equation from data, the most common of