#supervised

A Decision Tree is a supervised learning algorithm used for both classification and regression tasks.

K-Nearest Neighbors (KNN) is a simple, non-parametric algorithm used for both classification and regression tasks.

Linear regression is a supervised algorithm or statistical method that learns to model a dependent variable (target) as a function of some independent variables (features) by finding a line (or surface) that best “fits” the data.

Logistic regression is a statistical method used for binary classification problems, modeling the probability of an instance belonging to a particular class.

Support Vector Machines (SVM) is a supervised learning algorithm used for classification, regression, and outlier detection.