IBM SPSS Modeler is a visual data science and machine learning tool designed to help speed up operational tasks for data scientists. Enterprises worldwide use it for data preparation and discovery, predictive analytics, model management and deployment, and machine learning for their data assets, with no coding required.
With the SPSS Modeler service, you can create flows to:
- Discover, prepare, and blend data
- Develop and manage models
- Visualize the results
You can use SPSS Modeler flows to build machine learning pipelines that you can use to iterate rapidly during the model building process. Whether you're trying to find the best algorithm or experimenting with different ways of preparing your data, you can create reproducible research that's easily understood by any member of your team.
With SPSS Modeler flows, you can quickly develop predictive models using business expertise to improve decision-making. The flows interface is based on the long-established SPSS Modeler client software and uses industry-standard CRISP-DM methodology. The SPSS Modeler service supports the entire data mining process, from data exploration all the way to better business results.
To get more details about SPSS Modeler and learn how to install and use it, see SPSS Modeler on Cloud Pak for Data.
