Advanced Predictive Modeling Using IBM SPSS Modeler V18.1.1 (0A038G) Training

Live Online & Classroom Enterprise Certification Training

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

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What is Advanced Predictive Modeling Using IBM SPSS Modeler V18.1.1 (0A038G) Certification Training about?

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.

What are the objectives of Advanced Predictive Modeling Using IBM SPSS Modeler V18.1.1 (0A038G) Certification Training ?

Please refer to course overview

Who is Advanced Predictive Modeling Using IBM SPSS Modeler V18.1.1 (0A038G) Certification Training for?

Business Analysts
Data Scientists
Users of IBM SPSS Modeler responsible for building predictive models

What are the prerequisites for Advanced Predictive Modeling Using IBM SPSS Modeler V18.1.1 (0A038G) Certification Training?

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 Modele

Available Training Modes

Live Online Training

48 Hours

Classroom Training

8 Days

Course Outline Expand All

Expand All

Preparing data for modeling

Address general data quality issues

Handle anomalies

Select important predictors

Partition the data to better evaluate models

Balance the data to build better models

Reducing data with PCA/Factor

Explain the idea behind PCA/Factor

Determine the number of components/factors

Explain the principle of rotating a solution

Creating rulesets for flag targets with Decision List

Explain how Decision List builds a ruleset

Use Decision List interactively

Create rulesets directly with Decision List

Exploring advanced supervised models

Explain the principles of Support Vector Machine (SVM)

Explain the principles of Random Trees

Explain the principles of XGBoost

Combining models

Use the Ensemble node to combine model predictions

Improve model performance by meta-level modeling

Finding the best supervised model

Use the Auto Classifier node to find the best model for categorical targets

Use the Auto Numeric node to find the best model for continuous targets

Who is the instructor for this training?

The Trainer is IBM certified Instructor with extensive domain experience, including years of experience training & mentoring professionals in the industry.

Advanced Predictive Modeling Using IBM SPSS Modeler V18.1.1 (0A038G) Certification Training - Certification & Exam

SpringPeople is the Authorized Training Partner of IBM through Tech Data
For any queries, feel free to reach us at ibm@springpeople.com

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