Logistic Regression is a statistical method used for binary classification tasks, predicting the probability of a binary outcome based on one or more predictor variables. It uses the logistic function to model a binary dependent variable, making it suitable for applications where the outcome is categorical, such as spam detection or disease diagnosis.