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, ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of linear regression with two-way interactions between predictor variables. Compared to standard linear ...

Learn how to build a multivariate linear regression model step by step—no libraries, just pure C++ logic!

There are rarer instances, for example, an example from geology discussed here, where the use of orthogonal regression without proper attention to modeling may lead to either overcorrection or ...

Different Types and Use Cases Introduction What is Linear Regression? Linear regression is a fundamental statistical method used to model and understand the relationship between different variables.

Learn how to implement linear regression from scratch in C++ — a foundational machine learning algorithm made simple.

The 1941–1970 cooling trend is most statistically significant. The primary purpose of utilizing linear regression as a time series method is for visualization of climate change.

This article will cover the basic theory behind logistic regression, the types of logistic regression, when to use them and take you through a worked example.