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0A039G

Advanced Machine Learning Models Using IBM SPSS Modeler (V18.2)

Prezzo

€ 670.00
(Iva esclusa)

Scheda tecnica

Scarica

Giorni

1 gg

This course presents advanced models available in IBM SPSS Modeler. The participant is first introduced to a technique named PCA/Factor, to reduce the number of fields to a number of core factors, referred to as components or factors. The next topics focus on supervised models, including Support Vector Machines, Random Trees, and XGBoost. Methods are reviewed on how to analyze text data, combine individual models into a single model, and how to enhance the power of IBM SPSS Modeler by adding external models, developed in Python or R, to the Modeling palette.

  • Data scientists
  • Business analysts
  • Experienced users of IBM SPSS Modeler who want to learn about advanced techniques in the software
Sede Data P
Milano 07/05/2020
Roma 16/09/2020