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Predictive Modeling for Categorical Targets Using IBM SPSS Modeler (v18.1) (0A0U8G)
Who should attend
• Analytics business users who have completed the Introduction to IBM SPSS Modeler and Data Mining course and who want to become familiar with analytical models to predict a categorical field (yes/no churn, yes/no fraud, yes/no response to a mailing, pass/fail exams, yes/no machine break-down, and so forth).
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) is recommended.
Course Content
This course focuses on using analytical models to predict a categorical field, such as churn, fraud, response to a mailing, pass/fail exams, and machine break-down. Students are introduced to decision trees such as CHAID and C&R Tree, traditional statistical models such as Logistic Regression, and machine learning models such as Neural Networks. Students will learn about important options in dialog boxes, how to interpret the results, and explain the major differences between the models.
Online Training
Dauer 1 Tag
Preis (exkl. MwSt.)
- 790,– €
Sprache der Kursunterlagen: Englisch
Derzeit gibt es keine Online-Termine für diesen Kurs.
Classroom Training
Dauer 1 Tag
Preis (exkl. MwSt.)
- Deutschland: 790,– €
Verpflegung umfasst:
- Kaffee, Tee, Saft, Wasser, Cola
- Gebäck und Süßigkeiten
- Frisches Obst
- Mittagessen in einem der naheliegenden Restaurants
Gilt nur bei Durchführung durch Fast Lane. Termine, die von unseren Partnern durchgeführt werden, beinhalten ggf. ein abweichendes Verpflegungsangebot.
Sprache der Kursunterlagen: Englisch
Derzeit gibt es keine Klassenraum-Termine für diesen Kurs.
Derzeit gibt es keine Trainingstermine für diesen Kurs.
