Predictive Modeling for Continuous Targets Using IBM SPSS Modeler (v18.1) (0A0V8G)

 

Who should attend

IBM SPSS Modeler Analysts who have completed the Introduction to IBM SPSS Modeler and Data Mining course who want to become familiar with the modeling techniques available in IBM SPSS Modeler to predict a continuous target.

Prerequisites

 • Experience using IBM SPSS Modeler including familiarity with the Modeler environment, creating streams, reading data files, exploring data, setting the unit of analysis, combining datasets, deriving and reclassifying fields, and a basic knowledge of modeling. • Prior completion of Introduction to IBM SPSS Modeler and Data Science (v18.1.1) is recommended.

Course Content

This course provides an overview of how to use IBM SPSS Modeler to predict a target field that describes numeric values. Students will be exposed to rule induction models such as CHAID and C&R Tree. They will also be introduced to traditional statistical models such as Linear Regression. Students are introduced to machine learning models, such as Neural Networks. Business use case examples include: predicting the length of subscription for newspapers, telecommunication, and job length, as well as predicting insurance claim amounts.

Precios & Delivery methods

Entrenamiento en línea

Duración 1 día

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Classroom training

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Instructor-led Online Training:   Este es un curso en línea Guiado por un Instructor

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Entrenamiento en línea Zona Horaria: Europe/Berlin Lenguaje del curso: Inglés Este curso será presentado por un socio Inscripción
Entrenamiento en línea Zona Horaria: Europe/Berlin Este curso será presentado por un socio Inscripción
Entrenamiento en línea Zona Horaria: Europe/Berlin Este curso será presentado por un socio Inscripción