Regression : regression is a process of finding the correlation between the dependent and independent variables. It is helpful in the prediction of continuous variables, such as in the prediction of the stock market, house prices, etc. In regression, our task is to find the best suitable line that can predict the output accurately.
Classification : Classification is the process of finding a function that helps in dividing the data into different classes. These are mainly used in discrete data. In classification, our aim is to find the decision boundary which can divide the dataset into different classes.
