YoVDO

Neo4J GDS: Machine Learning Node Classification Pipelines

Offered By: The Machine Learning Engineer via YouTube

Tags

Neo4j Courses Data Science Courses Machine Learning Courses Graph Databases Courses Graph Algorithms Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
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.

Syllabus

Neo4J GDS: Machine Learning Node Classification Pipelines #datascience #machinelearning


Taught by

The Machine Learning Engineer

Related Courses

NoSQL systems
Universidad Nacional Autónoma de México via Coursera
Mastering Neo4j Graph Database Certification Training
Edureka
Building a Real Estate Search App With GRANDstack
Neo4j via YouTube
Building a GRANDstack Podcast App
Neo4j via YouTube
Neo4j APOC Utility Library How-To Series
Neo4j via YouTube