Predictive Modeling for Categorical Targets Using IBM SPSS Modeler (v18.1) (0A0U8G)

 

Quién debería asistir

• 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).

Prerrequisitos

• 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.  

Contenido del curso

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.

Classroom training

Duración 1 día

Precio (sin incluir impuestos)
  • Argentina: US$ 800,-
  • Brasil: US$ 800,-
  • Chile: US$ 800,-
  • Colombia: US$ 800,-
  • México: US$ 800,-
  • Perú: US$ 800,-
Entrenamiento en línea

Duración 1 día

Precio (sin incluir impuestos)
  • Argentina: US$ 800,-
  • Brasil: US$ 800,-
  • Chile: US$ 800,-
  • Colombia: US$ 800,-
  • México: US$ 800,-
  • Perú: US$ 800,-
 
Presionar el boton sobre el nombre de la ciudad para reservar Calendario
América Latina
Europa
Suiza
Aug 26, 2019 Bern Este curso será presentado por un socio
Oct 18, 2019 Ginebra Este curso será presentado por un socio
Dec 6, 2019 Zurich Este curso será presentado por un socio