After the course, the student is able to apply modern statistical modeling tools especially for regression and classification problems.
Contents
-Introduction to modeling -Short introduction to R and R packages used on the course -Non-linear models -Generalized (non)linear models -Random effects/mixed effects models
Modes of study
Option
1
Available for:
Degree Programme Students
Other Students
Open University Students
Doctoral Students
Exchange Students
lectures, exercises, practical work, examParticipation in course work
In
English
Evaluation
Numeric 1-5.
Study materials
Gareth, Witten Hastie and Tibshirani (2013). An Introduction to Statistical Learning – with Application in R.