A set of statistical processes used for estimating the relationships among variables. Regression analysis models the relationship between a dependent variable and one or more independent variables.
- Linear Regression: A type of regression that uses a linear combination of features as input to predict a continuous output. It is widely used for predicting numerical values and understanding relationships between variables.
- Logistic Regression: A type of regression used for binary or multiclass classification problems. It generates probabilities for each possible label by applying a sigmoid function to a linear prediction, mapping the output to a range between 0 and 1.