Linear regression is one of the simplest and most useful tools for analyzing data. It helps you find the relationship between variables so you can make predictions and understand patterns.

Standard linear regression uses a somewhat ugly technique (in my opinion) called dummy coding for categorical predictor variables. Implementing LRR from scratch requires more effort than using a ...

Linear regression and feature selection are two such foundational topics. Linear regression is a powerful technique for predicting numbers from other data. Imagine you have an imperative to ...

xkcd #2048 is exceptionally relevant to this. Doing linear regression well with a big dataset is difficult! I do this all the time at work and honestly I often show a scatter plot without any ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the linear support vector regression (linear SVR) technique, where the goal is to predict a single numeric ...

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 regression model, ...