aws / aws/amazon-sagemaker-examples
[Content Improvement] Datasets used in sagemaker_featurestore_fraud_detection_python_sdk.ipynb
Open
- Dominant language
- Jupyter Notebook
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- Avg merge
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- Merged PRs (30d)
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Description
**Link to the notebook**
sagemaker-featurestore/sagemaker_featurestore_fraud_detection_python_sdk.ipynb
**What aspects of the notebook can be improved?**
links to dataset being used
**What are your suggestions?**
I can't find the dataset being used in the example. A link to them would be great
Contributor guide
Research direction
Open sagemaker-featurestore/sagemaker_featurestore_fraud_detection_python_sdk.ipynb and inspect the cells that load or reference the dataset. Trace the dataset source used by the example, then add links where readers can find it and verify that the notebook still presents the dataset references clearly.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- aws, jupyter-notebook, machine-learning
- Domain
- documentation, machine-learning
- Issue type
- Documentation
- Difficulty
- 2/5
- Estimated time
- 1-3 hours
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 45/100