Supervised machine learning
Regression algorithms are used if there is a relationship between the input variable and the output variable. It is used for the prediction of continuous variables, such as Weather forecasting, Market Trends, etc. Below are some popular Regression algorithms which come under supervised learning: Linear RegressionRegression TreesNon-Linear RegressionBayesian Linear RegressionPolynomial Regression 2. Classification Classification algorithms are used when the output variable is categorical, which means there are two classes such as Yes-No, Male-Female, True-false, etc. Spam Filtering, Random ForestDecision TreesLogistic RegressionSupport vector MachinesNote: We will discuss these algorithms in detail Advantages of Supervised learning: With the help of supervised learning, the model can predict the output on the basis of prior experiences. In supervised learning, we can have an exact idea about the classes of objects. Supervised learning model helps us to solve various real-world prob...