9 - Building an ML Pipeline in Neo4j Link Prediction Deep Dive

Building an ML Pipeline in Neo4j: Link Prediction Deep Dive
Hands on deep dive into building a link prediction model in Neo4j, not just covering the marketing highlights but also all the tricky technical bits that make the difference between a great model and nonsense.
Alicia M. Frame
Director of Data Science, Neo4j
Alicia Frame is the Director of Graph Data Science at Neo4j.
Jacob Sznajdman
Graph Analytics Engineer, Neo4j
Jacob Sznajdman is an algorithm developer for Neo4j and the Graph Data Science library. He has experience in Machine Learning and Data Science from text classification, machine learning library building, query resource prediction and data-driven load balancing. He also holds a PhD in mathematics and has done research on the intersection of graph algorithms and machine learning.

[@julienhlh5070]

Where can we find the notebook?