Linear Regression: Simple yet powerful algorithm for predicting continuous outcomes based on input features.Logistic Regression: Binary classification algorithm mapping predicted values between 0 and 1.Decision Tree: Intuitive algorithm for classification and regression tasks with potential for overfitting.Random Forest: Ensemble learning technique with multiple decision trees for improved accuracy and stability.