![]() ![]() It should take you approximately 60 minutes to complete this tutorial. To complete the tutorials in this learning path, you need an IBM Cloud account, which gives you access to IBM Cloud, IBM Watson Studio, and the IBM Watson Machine Learning Service. This tutorial introduces the SPSS Modeler components and explains how you can use them to build, test, evaluate, and deploy models.Īs with all the other tutorials in this learning path, we are using a customer churn data set that is available on Kaggle. IBM Watson SPSS Modeler flows in Watson Studio provide an interactive environment for quickly building machine learning pipelines that flow data from ingestion to transformation to model building and evaluation, without needing any code. This tutorial explains how to graphically build and evaluate machine learning models by using the SPSS Modeler flow feature in IBM® Watson™ Studio.
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