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IBM Watson Studio Enablement

Heba El-Shimy
IBM Cloud Developer Advocate
@heba_el_shimy
Github: HebaNAS

This repository will contain several demos covering different functionality available on IBM Watson Studio. Each demo will be enclosed in a separate folder along with its resources such as datasets and tutorial written as README.md.


In these tutorials, we will learn how to:

  1. Create a model and deploy it from a notebook in Watson Studio (02-CreditCardApprovalModel and 03-LoanApprovalModel).
  2. Create a model using Watson Studio's Automatic Modeler (04-CreditCardApprovalWMLModeler).
  3. Create a model using IBM SPSS Modeler ().
  4. Create an Interactive Dashboard and share it (06-CustomerDemographicsDashboard).
  5. Create an Image Classifier using Watson Visual Recognition (07-SignatureFraudDetectionVisualRecognition).
  6. Create a Deep Learning Model using Watson Studio's Neural Network Modeler, adjusting model's hyperparameters and run experiments ().

Important Notes to follow along with this tutorial:

  1. You'll need an IBM Cloud Account Sign up for IBM Cloud here: https://ibm.biz/WatsonStudioTutorials

Note: Whenever prompted to choose a country/location/region, choose United States/US-South.

  1. Create an Object Storage instance by choosing it from the catalog.
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  2. Don't change any settings and click Create.
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  3. Congratulations! You've created the first Cloud Service Instance.
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  4. Create a Machine Learning instance by choosing it from the Watson category.
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  5. Don't change any settings and click Create.
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  6. Whenever you need to access your credentials for this service or any other, refer to the image below.
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  7. Create a Watson Studio instance by choosing it from Watson category.
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  8. Don't change any settings and click Create.
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  9. Click on Get Started to get redirected to Watson Studio Platform.
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  10. To start following the demos, you will need to create a New Project.
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  11. Select Complete to include all available tools into the project.
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  12. Type a name for your project and make sure the object storage is selected, then click Create.
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  13. Now let's start working on Data Science projects!
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