Linear regression and logistic regression are two fundamental machine learning algorithms with different purposes and applications. Linear regression predicts continuous numerical values using a straight line relationship, while logistic regression predicts categorical outcomes using an S-shaped curve. Let's explore their core differences and when to use each approach.