Logistic regression adopts the sigmoid function to analyze data and predict discrete classes that exist in a dataset. Although logistic regression shares a visual resemblance to linear regression, it is technically a classification technique. Whereas linear regression addresses numerical equations and forms numerical predictions to discern relationships between variables, logistic regression predicts discrete classes.
