Building predictive models can be time consuming and also takes a lot of skills to develop and deploy, as it involved various algorithms which need to be compared and also ensure that we have the desired accuracy for our model. In this workshop, will talk about predictive modeling and machine learning, after which we will show you how can easily build a predictive model with IBM SPSS Modeler and decide whether a telco customer will churn or not.

Use the SPSS tool to inspect data and glean insights.

Modify and prepare data for AI model creation using SPSS.

Train a machine learning model with SPSS and evaluate the results.

Anyone who is growing in the field of Data Science & AI

Sign up/Login on IBM Cloud at https://ibm.biz/EasyModels

Fawaz Siddiqi - Developer Advocate, IBM
(https://www.linkedin.com/in/fawazsiddiqi/)

Anam Mahmood - Developer Advocate, IBM
(https://www.linkedin.com/in/anam-mahmood-sheikh/)

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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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Build a Predictive Machine Learning Model Quickly and Easily