Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression using JavaScript. Linear regression is ...

A method commonly used to fit non-linear curves to data instead of straight regression lines is polynomial regression. This method uses the same principles as linear regression but models the ...

The key to a successful kernel ridge regression model is understanding kernel functions. The demo program uses the radial basis function (RBF) kernel with a gamma value of 1.0. Basic linear regression ...

EDIT: Updated with working code.I am porting a polynomial regression program (originally in C++ 6) to VB.NET 2003 for use in another project. However, I'm having some slight difficulties. When I ...

Model building via linear regression models. Method of least squares, theory and practice. Checking for adequacy of a model, examination of residuals, checking outliers. Practical hand on experience ...

Duration: 12h. In this module, we will introduce generalized linear models (GLMs) through the study of binomial data. In particular, we will motivate the need for GLMs; introduce the binomial ...

Often, regression models that appear nonlinear upon first glance are actually linear. The curve estimation procedure can be used to identify the nature of the functional relationships at play in ...