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, ...

Here's how to run both simple and multiple linear regression in Google Sheets using the built-in LINEST function. No add-ons ...

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 ...

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 ...

Data mining focuses on extracting knowledge from large data ... Topics include data pre-processing, over-fitting and model tuning, linear and nonlinear regression models and linear and nonlinear ...

Machine learning and data mining are emerging ... generalised additive models, decision trees, random forests, bagging, boosting and support vector machines, as well as more advanced linear approaches ...

It is not desirable to use ordinary regression analysis for time series data since the assumptions on which the classical linear regression model is based will usually be violated. Violation of the ...

The course will be taught from a statistical perspective and students must have a very solid understanding of linear regression models. Students are not permitted to take this course alongside ...