With the release of Neo4j’s all-new Graph Data Science (GDS) Python driver, it’s easier than ever to integrate the power of GDS into your Python analysis workflows. In this video, Graphable Lead Data Scientist Sean Robinson takes a first look at these new features in a working context by comparing a link prediction machine learning pipeline in GDS 1.8 to the brand new GDS 2.0 driver for Python.
Graphable delivers insightful graph database (e.g. Neo4j consulting) / machine learning (ml) / natural language processing (nlp) projects as well as graph and Domo consulting for BI/analytics, with measurable impact. We are known for operating ethically, communicating well, and delivering on-time. With hundreds of successful projects across most industries, we thrive in the most challenging data integration and data science contexts, driving analytics success.
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Check out our article, What is a Graph Database? for more info.