Learning objectives
In this workshop, we will explain how to graphically build and evaluate machine learning models by using the SPSS Modeler flow feature in IBM® Watson™ Studio. 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 workshop introduces the SPSS Modeler components and explains how you can use them to build, test, evaluate, and deploy models!🤩
What will you learn?🤔
- How to create an SPSS Modeler flow
- How to use the SPSS tool to profile and analyze data
- How to train a machine learning model with SPSS and evaluate the results
Links
Link to the Tutorial - https://ibm.biz/DeveloperSummit-SPSSRepo
IBM Cloud Sign-up: https://ibm.biz/DeveloperSummit
Event recording: https://virtual.eventtus.com/xongbf6b80wcfsbn7ah8mlm1whj7nrzw/backstage/zxjqqqkzxpk3lbgxjyg7scjf6iklo0ze
Slides: https://ibm.biz/DeveloperSummit-SPSSSlides
Survey: https://ibm.biz/DeveloperSummit-Survey
Speakers
| Mostafa Abdelaleem | Mridul Bhandari |
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| Mostafa Abdelaleem is a Developer Advocate at IBM Egypt. He completed his bachelor’s degree in electronics and communications from Cairo University. Mostafa enjoys reading about new technologies, especially those related to AI topics, and loves trying them out. | Mridul Bhandari is a Developer Advocate focusing on Data, AI & Microservices from UAE. He has worked with Cloud Pak for Data, Watson Assistant, Watson Discovery, Auto AI & SPSS Modeler. He also has experience with frameworks such as React & React Native. |