Multiple regression and regression diagnostics. Generalised linear models; the exponential family, the linear predictor, link functions, analysis of deviance, parameter estimation, deviance residuals.

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 ... of ...

In this video, we will implement Multiple Linear Regression in Python from Scratch on a Real World House Price dataset. We will not use built-in model, but we will make our own model. This can be a ...

Last month we explored how to model a simple relationship between ... of dependence on several variables, we can use multiple linear regression (MLR). Although MLR is similar to linear regression ...

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.

Of course, this is just a simple regression and there are models that you can build that use several independent variables called multiple linear regressions. But multiple linear regressions are ...

In this module, we will introduce the basic conceptual framework for statistical modeling in general, and linear statistical models in particular. In this module, we will learn how to fit linear ...

where the "multiple" indicates two or more predictor variables. The form of a basic linear regression prediction model is y' = (w0 * x0) + (w1 * x1) + . . . + (wn * xn) + b, where y' is the predicted ...