Regression and classification are two primary types of supervised machine-learning tasks. In our workshop, we will learn how to manipulate regression and classification algorithms. In regression, the goal is to predict a continuous output or numerical value, such as house prices or temperature. Algorithms like linear regression, support vector regression, and neural networks are commonly used for regression tasks. Evaluation metrics include Mean Squared Error and R-squared. On the other