What are the differences between logistic regression and linear regression?

In career-related websites, it is important to understand the difference between logistic regression and linear regression. Logistic regression is a statistical method used to predict binary outcomes, such as yes/no or true/false, based on one or more independent variables. On the other hand, linear regression is used to model the relationship between a dependent variable and one or more independent variables, with the goal of finding the best line to make predictions about the dependent variable.