**Regression and classification in machine learning - explained**
In regression, the goal is to predict a continuous output or numerical value. It involves finding the relationship between input variables and a continuous target variable.
In classification, the goal is to assign input data points to predefined categories or classes. It involves learning a mapping from input variables to discrete output labels.