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

Discover how linear regression works, from simple to multiple linear regression, with step-by-step examples, graphs and real-world applications.

Naive Bayes regression is essentially a variation of basic linear regression. In simple linear regression, there is a single predictor variable x, and a single target variable y to predict. For ...

Variable imputation was performed by polytomous regression (unordered categorical variables), LR (binary variables), and Bayesian linear regression (continuous variables). Multiple (m = 5) imputation ...

A bayesian hierarchical model for regression using PyMC PyMC is a Python library for Bayesian statistical modelling that focuses on sophisticated Monte Carlo Markov Chain and Variational inference ...