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Deploy a predictive machine learning model using IBM Cloud

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In this 1-hour long project-based course, you will be able to create, evaluate and save a machine learning model (without writing a single line of code) using Watson Studio on IBM Cloud Platform, and you will make deployment of the model and try out as a web service frontend to make predictions. This guided project is for Data Scientists, Machine Learning Engineers, and Developers who want a way to deliver their machine learning code available to be integrated into an application and using it as a web service. We will do everything in a development mode without any costs using a free IBM Cloud account. To be successful in this project, you should be familiar with machine learning methodologies, like training, prediction, evaluation, and basic knowledge in some machine learning algorithms is appreciated too, so that way you will understand the results before making a deployment. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

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Unlock the power of machine learning with IBM Cloud in this 1-hour project-based course. Guided by Coursera, this intermediate-level course empowers Data Scientists, Machine Learning Engineers, and Developers to create, evaluate, and deploy machine learning models without coding. Utilize Watson Studio on IBM Cloud, all within a free account. Perfect for those familiar with machine learning methodologies, this course offers a seamless way to integrate predictive models into applications as web services. Ideal for North America-based learners, with expansion plans underway.