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

Linear regression models the relationship between a dependent and independent variable(s). A linear regression essentially estimates a line of best fit among all variables in the model.

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, ...

I use Python 3 and Jupyter Notebooks to generate plots and equations with linear regression on Kaggle data. I checked the correlations and built a basic machine learning model with this dataset.

Microsoft Excel and other software can do all the calculations, but it's good to know how the mechanics of simple linear regression work. At the heart of a regression model is the relationship ...

and linear statistical models in particular. In this module, we will learn how to fit linear regression models with least squares. We will also study the properties of least squares, and describe some ...

It is assumed students have taken at least a first course in linear algebra. A solid coverage of the most important parts of the theory and application of regression models, and generalised linear ...

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 ...