Learn how to build a simple linear regression model in C++ using the least squares method. This step-by-step tutorial walks ...

History suggests that extreme run-ups in the cyclically adjusted price-earnings ratio are a signal that the stock market may be overvalued. A simple regression model using a small set of macroeconomic ...

Linear models, generalized linear models, and nonlinear models are examples of parametric regression models because we know the function that describes the relationship between the response and ...

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression using JavaScript. Linear regression is the simplest machine learning technique to predict a single numeric value, ...

The standard linear regression model does not apply when the effect of one explanatory variable on the dependent variable depends on the value of another explanatory variable. In this case, the ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the random forest regression technique (and a variant called bagging regression), where the goal is to ...