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Advanced Predictive Modeling using IBM SPSS Modeler (V15) - SPVC

formación Advanced Predictive Modeling using IBM SPSS Modeler (V15) - SPVC

Descripción: Curso Advanced Predictive Modeling using IBM SPSS Modeler (V15) - SPVC

Formación en Business Analytics

Advanced Predictive Modeling using IBM SPSS Modeler (V15). This ILT/ILO course teaches a number of advanced modeling techniques to predict categorical and continuous targets, and is meant for users of IBM SPSS Modeler responsible for building predictive (or "classification") models. Before reviewing the various modeling techniques, prerequisites for building successful models are addressed. The next lessons discuss Decision List, Support Vector Machines and Bayes Nets. After having discussed individual models, it is demonstrated how multiple models can be combined to improve the predictive power. Finally, the focus is on how to automate the process of finding the best predictive model. Each lesson is accompanied by demonstrations and learning activities, to acquire hands-on experience.

If you are enrolling in a Self Paced Virtual Classroom or Web Based Training course, before you enroll, please review the Self-Paced Virtual Classes and Web-Based Training Classes on our Terms and Conditions page, as well as the system requirements, to ensure that your system meets the minimum requirements for this course.

http://www.ibm.com/training/terms

Formación IBM

  

Detalles

Course Introduction

  • Course objectives
  • Course description
  • Course assumptions

Preparing Data for Modeling

  • General data quality issues
  • The Anomaly node
  • The Feature Selection node
  • The Partition node
  • The Balance node

Rule Induction using Decision List

  • Interactive Decision List
  • Direct Decision List

Machine Learning Models

  • Support Vector Machines
  • Bayes Net

Combining Predictive Models

  • The Ensemble node
  • Meta-level modeling
  • Error modeling

Finding the Best Predictive Model

  • The Auto Classifier node
  • The Auto Numeric node

Data Reduction using PCA/Factor

  • Using PCA/Factor to reduce data

This advanced course is for users of IBM SPSS Modeler responsible for building predictive (or "classification") models.

You should:

  • Complete the course Introduction to IBM SPSS Modeler and Data Mining or experience analyzing data with IBM SPSS Modeler
  • Be familiar with basic modeling techniques, either through completion of the courses Classifying Customers using IBM SPSS Modeler, and Predicting Continuous Targets using IBM SPSS Modeler, or by experience with IBM SPSS Modeler

Please refer to course overview for description information.

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