Add more watson tutorials (red-hat-data-services#25)

data/docs/auto-ai-experiment-model-tutorial.yaml

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+metadata:
+  name: auto-ai-experiment-model-tutorial
+  type: tutorial
+spec:
+  appName: watson-studio
+  displayName: Run an AutoAI Experiment to Build a Model
+  description: |-
+    Building a binary classification model for a marketing campaign.
+  url: https://video.ibm.com/channel/23952663/video/cpd35-ws-autoai
+  durationMinutes: 8

data/docs/build-binary-classification-model-tutorial.yaml

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+metadata:
+  name: build-binary-classification-model-tutorial
+  type: tutorial
+spec:
+  appName: watson-studio
+  displayName: Build a binary classification model
+  description: |-
+    Training a model to predict whether or not a customer is likely to subscribe to a bank promotion.
+  url: https://www.ibm.com/support/knowledgecenter/SSQNUZ_3.5.0/wsj/analyze-data/autoai_example_binary_classifier.html
+  durationMinutes: 10

data/docs/jupyter-notebooks-in-watson-studio-tutorial.yaml

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+metadata:
+  name: jupyter-notebooks-in-watson-studio-tutorial
+  type: tutorial
+spec:
+  appName: watson-studio
+  displayName: Jupyter Notebooks in Watson Studio
+  description: |-
+    This video covers the basics for working with Jupyter notebooks in Watson Studio
+  url: https://video.ibm.com/channel/23952663/video/cpd35-ws-notebook-basics
+  durationMinutes: 3

data/docs/python-notebook-generate-results-open-scale-tutorial.yaml

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+metadata:
+  name: python-notebook-generate-results-open-scale-tutorial
+  type: tutorial
+spec:
+  appName: watson-studio
+  displayName: Run a Python notebook to generate results in Watson OpenScale
+  description: |-
+    Run a Python notebook to create, train, and deploy a machine learning model.
+  url: https://www.ibm.com/support/knowledgecenter/SSQNUZ_3.5.0/wsj/model/wos-tutorial-adv.html
+  durationMinutes: 15