Course outline

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

Categories: Guaranteed To Run™, IBM

GK IBM LS Partner

Duration: 1 Day

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.

Please refer to course overview.

  • Knowledge of your business requirements
  • Required: Equivalent knowledge of how to import, explore, and prepare data with IBM SPSS Modeler v18.2, and know the basics of modeling.
  • Recommended: Equivalent knowledge or experience with the product about supervised machine learning models (CHAID, C&R Tree, Regression, Random Trees, Neural Net, XGBoost), unsupervised machine learning models (TwoStep Cluster), and association machine learning models such as APriori.
  • Data scientists
  • Business analysts
  • Experienced users of IBM SPSS Modeler who want to learn about advanced techniques in the software
This course is delivered by an authorized IBM Global Training Provider.

Feel free to contact us, if you want to know the price and location of this course. A Digital Revolver representative will contact you shortly to help you with your inquiry.
Please fill out the form below

  • Guaranteed to Run™. This ensures you will attend the instructor led class or live online class you want as scheduled without any disruptive cancellations*. You book the training you need, get back to focusing on your job and are sure your training requirements will be met saving time, money and ensuring peace of mind.
  • This schedule icon the schedule indicates that this date/time will be conducted as Instructor Led Training (ILT) or a Virtual Instructor Led Training (VILT) depending on the indicated class availablity.
Privacy and Cookies

This website stores cookies on your computer which help us make the website work better for you.

Learn moreAccept and Close
Social media & sharing icons powered by UltimatelySocial