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Advanced Predictive Modeling Using IBM SPSS Modeler (v18.1.1) (0A038G)
Who should attend
• Business Analysts • Data Scientists • Users of IBM SPSS Modeler responsible for building predictive models
Prerequisites
• Familiarity with the IBM SPSS Modeler environment (creating, editing, opening, and saving streams). • Familiarity with basic modeling techniques, either through completion of the courses Predictive Modeling for Categorical Targets Using IBM SPSS Modeler and/or Predictive Modeling for Continuous Targets Using IBM SPSS Modeler, or by experience with predictive models in IBM SPSS Modeler.
Course Content
This course presents advanced models to predict categorical and continuous targets. Before reviewing the models, data preparation issues are addressed such as partitioning, detecting anomalies, and balancing data. The participant is first introduced to a technique named PCA/Factor, to reduce the number of fields to a number of core fields, referred to as components or factors. The next units focus on supervised models, including Decision List, Support Vector Machines, Random Trees, and XGBoost. Methods are reviewed to combine supervised models and execute them in a single run, both for categorical and continuous targets.
Online Training
Duration 1 day
Price (excl. tax)
- 790.— €
Courseware language: English
Currently no online training dates
Classroom Training
Duration 1 day
Price (excl. tax)
- Germany: 790.— €
Catering includes:
- Coffee, Tea, Juice, Water, Soft drinks
- Pastry and Sweets
- Fresh fruits
- Lunch in a nearby restaurant
* Catering information only valid for courses delivered by Fast Lane.
Courseware language: English
Currently no classroom training dates
Currently there are no training dates scheduled for this course.
