All Machine Learning Algorithms You Should Know in 2021

Linear Regression is one of the most fundamental algorithms used to model relationships between a dependent variable and one or more independent variables. In simpler terms, it involves finding the'line of best fit' that represents two or more variables. The line of best fit is found by minimizing the squared distances between the points and the line of best fit -- this is known as minimizing the sum of squared residuals. A residual is simply equal to the predicted value minus the actual value. In case it doesn't make sense yet, consider the image above.