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Welcome
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How to succeed with this course
- Match entities using Python SDK
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Why Python SDK for matching entities
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Check your knowledge
- Access and setup
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Notebook setup
- Supervised entity matching with Python SDK
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Demonstration on supervised entity matching
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Check your knowledge
- Unsupervised entity matching with Python SDK
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Demonstration on performing unsupervised entity matching
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Check your knowledge
- End of course
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Tips and tricks
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Key takeaways
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Share your feedback
Match Entities with Python SDK
Learn about matching entities using Python SDK, different entity matching models, and more
In this course, you will see a demonstration of how to perform entity matching using Cognite's Python SDK, the available capabilities, explain the parameter combinations suitable for the process, and briefly explain what happens in the backend.
This course is for data engineers looking to up their knowledge and skills in entity matching.
At the end of the course, you will be able to:
- Understand why you should use the Python SDK for entity matching
- Describe when and how to use supervised and unsupervised entity matching models
- Describe different feature types and how to use them
It's recommended to have completed Cognite Data Fusion Fundamentals and Match Entities: Concept and UI before taking this course, so you have a basic understanding of the CDF data model and match entities in CDF.
This course was developed by Cognite Academy, with subject matter experts:
Torbjørn Opheim | Software Engineer
Sofie Haug | Academy Engineer