Neo4J GDS - Machine Learning Feature Engineering
Offered By: The Machine Learning Engineer via YouTube
Course Description
Overview
Learn how to perform data pre-processing and feature engineering using the Graph Data Science (GDS) Library of Neo4J in this 39-minute video tutorial. Explore practical techniques for preparing and enhancing data for machine learning applications within a graph database context. Access the accompanying Jupyter notebook on GitHub to follow along and implement the demonstrated concepts in your own projects.
Syllabus
Neo4J GDS: Machine Learning Feature Engineering #datascience #machinelearning
Taught by
The Machine Learning Engineer
Related Courses
Introduction to Artificial IntelligenceStanford University via Udacity Natural Language Processing
Columbia University via Coursera Probabilistic Graphical Models 1: Representation
Stanford University via Coursera Computer Vision: The Fundamentals
University of California, Berkeley via Coursera Learning from Data (Introductory Machine Learning course)
California Institute of Technology via Independent