Graph Data Science with Neo4j: Learn how to use Neo4j 5 with Graph Data Science library 2.0 and its Python driver for your project

This book is a comprehensive guide to unlocking the full potential of Neo4j 5, the premier graph database for cutting-edge machine learning.

With step-by-step explanations and practical instructions, you'll learn how to extract meaningful information from graph data, use graph algorithms in a regular ML pipeline, and make predictions and create data science pipelines.

By leveraging the relationships in your dataset, you'll be able to improve your model prediction performance and gain valuable insights into your data.

Don't miss out on this opportunity to revolutionize your data analysis and machine learning capabilities with Neo4j 5 and the Graph Data Science Library.