In this online data science specialization, you will learn to use intermediate and advanced statistical modeling techniques, including the theory and application of linear regression analysis, ANOVA ...

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, ...

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 ...

This course is available on the BSc in Actuarial Science, BSc in Business Mathematics and Statistics, BSc in Data Science, BSc in Financial ... parts of the theory and application of regression models ...

The course introduces data science from different perspectives ... Topics include data pre-processing, over-fitting and model tuning, linear and nonlinear regression models and linear and nonlinear ...

forestry and environmental science. Topics include multiple linear, curvilinear and non-linear regression, hierarchical grouped data and mixed-effects models. Emphasis is placed on application of ...

The last value on each line is the target y variable to predict. The demo creates a linear support vector regression model, evaluates the model accuracy on the training and test data, and then uses ...