Training – Machine learning with R – September 28 & 29 – Brussels


Next week Monday and Tuesday:

Join us for a 2 days Machine learning course using R. Special discounts apply, contact @pvanimpe for more details.

Please register and pay through Eventbrite

A must have skill for all datascientist

This course is a hands-on course covering the use of statistical machine learning methods available in R.

The following basic learning methods will be covered and used on common datasets.

  • classification trees (rpart)
  • feed-forward neural networks and multinomial regression
  • random forests
  • boosting for classification and regression
  • bagging for classification and regression
  • penalized regression modelling (lasso/ridge regularized generalized linear models)
  • model based recursive partitioning (trees with statistical models at the nodes)
  • training and evaluation will be done through the use of the caret and ROCR packages

Course duration: 2 days.


Instructor: Jan Wijfels, BNOSAC

jan wijffels Jan Wijffels is the founder – a consultancy company specialised in statistical analysis and data mining. He holds a Master in Commercial Engineering, a MSc in Statistics and a Master in Artificial Intelligence and has been using R for 8 years, developing and deploying R-based solutions for clients in the private sector. He has developed and co-developed the R packages ETLUtils and ffbase.

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