Let us learn the categories of supervised learning algorithm.

Categories of Supervised Learning Algorithm :

1} Regression Algorithm :
• Regression in supervised learning involves predicting a continuous output or outcome based on input features.
• It is used for the prediction of continuous variables, such as, Weather Forecasting, Market Trends, etc.
• Some of the popular regression algorithms of supervised learning are Linear Regression, Regression Trees, Non-Linear Regression, Polynomial Regression, etc.

2} Classification Algorithm :
• Classification algorithm is used to predict which category a new data point belongs to, based on the labeled training data.
• It is used spam filtering, that is, classifying emails as spam or not spam.
• Some of the common classification algorithms include decision trees, support vector machines, and neural networks.