Neo4j Graph Data Science 2.0 in Python: First Look [Video]

By Kyle McNamara

May 2, 2022

Videos

Reading Time: < 1 minute

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.

Downloadable content:


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.

Want to find out more about our Hume consulting on the Hume knowledge graph / insights platform? As the Americas principal reseller, we are happy to connect and tell you more. Book a demo by contacting us here.

Check out our article, What is a Graph Database? for more info.


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.
Contact us for more information: