Build and Compare your ML Models the Easy Way with IBM SPSS Modeler
Overview
In this webinar, we will use IBM SPSS Modeler to build a credit risk predictive machine learning model to decide whether a bank should accept a customer’s loan application or reject it. Modeler flow empowers organizations to tap into data assets and modern applications, with complete algorithms and models that are ready for immediate use. We will build the model without writing any code and only using the drag-and-drop graphical interface of Modeler Flow.
What will you learn?
How to use Modeler Flow on IBM Cloud.
Build predictive ML models with no code.
Compare models based on their evaluation metrics to select the best-performing model to deploy.
Who should attend?
Anyone interested in AI and Data Science is welcome to attend the workshop!
Prerequisites
Register for a free IBM Cloud Account: https://ibm.biz/BdfMKE
Register for the live stream and access the replay: https://www.crowdcast.io/e/build-compare-ml-models
️ Speaker
Khalil Faraj, IBM Developer Advocate
https://developer.ibm.com/profiles/khalil.faraj/
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Ready to put your new skills to good use?
Participate in the 2021 Call for Code Global Challenge, by helping us fight back Climate Change, for a chance to win $200,000 and get support from IBM and our technology partners like The Linux Foundation to get your solution deployed around the world.
This isn’t your average hackathon. If you want the chance to build a solution that can make a true impact in the field, Call for Code can turn your idea into action.
Visit https://callforcode.org for more details and FAQs
Check out the resources & starter kits to kick-off your solution: https://developer.ibm.com/callforcode
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https://developer.ibm.com/terms/ibm-developer-terms-of-use/
by Mridul Bhandari
linux foundation
