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Data science: analytics and visualisation 880


 
Module code TRG 880
Qualification Postgraduate
Faculty Faculty of Economic and Management 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
NQF Level 09
Service modules Faculty of Natural and Agricultural 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
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