In this section, we will learn about the most important or the most frequently used machine learning techniques, which are widely used in building recommendation engines.
Linear regression may be treated as a simple, popular, and the foremost approach for solving prediction problems. We employ linear regression where our objective is to predict the future outcomes, given input features and the output label is a continuous variable.
In linear regression, given historical input and output data, the model will try to find out the relation between independent feature variables and the dependent output variable given by the following equation and diagram:
Here, y represents the output continuous dependent variable, ...