Linear Regression: A simple but powerful model for regression analysis that finds the best-fit
linear relationship between input variables and a target variable.

A classification model that predicts the probability of an instance
belonging to a particular class using a logistic function.

Tree-based models that make decisions by splitting data based on features,
resulting in a hierarchical structure.

Ensemble learning method that combines multiple decision trees
to make predictions, often resulting in improved accuracy and
generalization.

An ensemble learning technique that builds a strong predictive model by iteratively
combining weak models, such as decision trees.

A popular classification model that finds an optimal hyperplane to separate data points
belonging to different classes with the largest margin.