What are some common algorithms for classification and regression?

What are some common algorithms for classification and regression?

Common algorithms for classification include Logistic Regression, Decision Trees, and Support Vector Machines. For regression, you might use Linear Regression, Ridge Regression, or Random Forest.

Can you explain how a Decision Tree works?

A Decision Tree splits the data into branches based on feature values, creating a tree-like model of decisions leading to outcomes.

What is the difference between classification and regression?

Classification predicts categorical outcomes, while regression predicts continuous outcomes. For example, classifying emails as spam or not is classification, while predicting house prices is regression.

Which algorithm is better for a specific problem?

It depends on the problem type, data characteristics, and performance metrics. Experimenting with multiple algorithms is often best.