In this video, we will learn what is linear regression in machine learning along with examples to make the concept crystal clear.

Logistic Regression is a widely used model in Machine Learning. It is used in binary classification, where output variable can only take binary values. Some real world examples where Logistic ...

Recent advances of kernel regression assume that target signals lie over a feature graph such that their values can be predicted with the assistance of the graph learned from training data. In this ...

In this article, we propose a new linear regression (LR)-based multiclass classification method, called discriminative regression with adaptive graph diffusion (DRAGD). Different from existing graph ...

If you are curious about what measures multicollinearity then let me tell you that it’s certainly not the correlation matrix. In this article, we will focus on understanding some very important ...

The short course will illustrate how to use JMP in linear regression analysis. The three main topics will be: Exploratory data analysis, simple liner regression and polynomial regression How to fit a ...

Article citations More>> Yoo, W., Mayberry, R., Bae, S., et al. (2014) A Study of Effects of Multicollinearity in the Multivariable Analysis. International Journal of Applied Science and Technology, 4 ...