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Data science: analytics and visualisation 880


 
Module code TRG 880
Qualification Postgraduate
Faculty Faculty of Natural and Agricultural Sciences
Module content

Supervised learning and applications. Multicollinearity, ridge regression, the LASSO and the elastic net. Parametric and nonparametric logistic regression and nonlinear regression. Survival regression. Regression extensions: Random forests MARS and Conjoint analysis. Neural networks.
Module credits 20.00
Service modules Faculty of Economic and Management Sciences
Prerequisites Admission to relevant programme.
Contact time 1 lecture per week
Language of tuition Module is presented in English
Department Statistics
Period of presentation Semester 1 or Semester 2
The information published here is subject to change and may be amended after the publication of this information. The General Regulations (G Regulations) apply to all faculties of the University of Pretoria. It is expected of students to familiarise themselves well with these regulations as well as with the information contained in the General Rules section. Ignorance concerning these regulations and rules will not be accepted as an excuse for any transgression.

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