Introduction to Supervised Learning

Explore the fundamental concepts of supervised learning, including how models are trained using labeled data, the roles of features and labels, and common algorithms for regression, classification, and ensemble methods. Learn how to evaluate model performance with metrics like accuracy and precision to build effective predictive models.