Regression models
Regression models are a type of supervised machine-learning model used to predict continuous numerical values for a target variable based on one or more input variables. In other words, regression models are used to estimate the relationships between the input variables and the output variable.
There are various types of regression models used in machine learning, some of which include the following:
- Linear Regression: This is a type of regression model that assumes a linear relationship between the input variables and the output variable.
- Polynomial Regression: This is a type of regression model that assumes a polynomial relationship between the input variables and the output variable.
- Logistic Regression: This is a type of regression model used to predict binary or categorical outcomes. It estimates the probability of an event occurring based on the input variables.
- Ridge Regression: This is a type of linear regression model that uses regularization...