A simple example – say you have Gender (M,F) and Height and Weight data for a group of individuals.
Say you want to predict the ‘Gender’ of the next individual. This would be a classification model problem (aka Logistic Regression).
Say you want to predict the height of the next individual. This would be a Linear Regression (as opposed to Logistic Regression) Model problem.