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.
If you need training for 3 or more people, you should ask us about onsite training. Putting aside the obvious location benefit, content can be customised to better meet your business objectives and more can be covered than in a public classroom. It's a cost effective option.
Submit an enquiry from any page on this site, and let us know you are interested in the requirements box, or simply mention it when we contact you.
ITILv3, RESILIA, PRINCE2, PRINCE2 Agile, AgileSHIFT, MSP, M_o_R, P3M3, P3O, MoP, MoV courses on this page are offered by QA, ATO of AXELOS Limited. ITIL, RESILIA, PRINCE2, PRINCE2 Agile, AgileSHIFT, MSP, M_o_R, P3M3, P3O,MoP, MoV are registered trademarks of AXELOS Limited. All rights reserved.
|Live Virtual||Live Virtual||1||750 £750||2019-09-18|
|Live Virtual||Live Virtual||1||750 £750||2019-10-24|
|Live Virtual||Live Virtual||1||750 £750||2019-11-18|
|Live Virtual||Live Virtual||1||750 £750||2019-12-06|
|Live Virtual||Live Virtual||1||750 £750||2020-01-20|