Regression with Ridge Algorithm Regression with the Ridge algorithm is a method for solving regression problems in machine learning. It is a linear regression model that includes L2 regularization, which is a technique that adds a penalty term to the loss function to reduce the complexity of the model. The Ridge algorithm starts by defining …
Day: August 27, 2019
Applied Data Science Coding with Python: Linear Regression Algorithm Linear Regression is a statistical method for predicting a continuous variable from one or more variables. Linear regression is one of the simplest and most widely used predictive models in machine learning. It assumes that the relationship between the independent variables and the dependent variable is …