Explain the differences between linear and logistic regression.

Linear regression predicts a continuous numerical value, such as predicting house prices based on features like size and location. Logistic regression, on the other hand, predicts the probability of a binary outcome (yes/no, true/false) and is used for classification tasks, like determining if an email is spam or not based on its content.