Understanding The Applications Of Multiple Linear Regression In Machine Learning

Multiple linear regression is a powerful tool in machine learning that can be used to predict the outcome of a given set of data. It is a type of linear regression that uses multiple independent variables to predict the outcome of a dependent variable. It is a powerful tool for predicting the outcome of a given set of data and can be used to make decisions about how to best use the data. This article discusses the applications of multiple linear regression in machine learning, the advantages and disadvantages of using it, and best practices for using it.