Learn how to create a Node Classification training pipeline using Neo4J and the Graph Data Science Library (GDS) in this 40-minute video tutorial. Explore practical techniques for implementing machine learning algorithms on graph data structures. Follow along with the provided Jupyter notebook to gain hands-on experience in building and optimizing node classification models within a graph database environment. Discover how to leverage the power of graph-based machine learning for data science applications and enhance your skills in working with Neo4J's advanced features.
Overview
Syllabus
Neo4J GDS: Machine Learning Node Classification Pipelines #datascience #machinelearning
Taught by
The Machine Learning Engineer
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