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Neo4j Integration with Azure Machine Learning

This repository is meant to demonstrate the integration between Neo4j Graph Data Science and Azure Machine Learning. The data is from Kaggle and is about Car Insurance policies to detect potential fraudulent claims in the next 6 months.

Notebooks are located here and are meant to be run inside Azure ML Studio.

Pre-requisites

  • Neo4j Graph Data Science instance
  • Azure ML instance

The notebooks cover on how to ingest data to Neo4j Graph Data Science instance, create node embeddings, export them to Azure ML and use AutoML to create a best model that can predict fraud claims in the next 6 months.

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