Introduction
Graph data science is a science driven approach to gain knowledge from the relationships and structures in data, typically to power predictions. It describes a toolbox of techniques that help data scientists answer questions and explain outcomes using graph data
Python libraries for graphs
For graph visualization, I’ll be using NetworkX, a Python package dedicated to the creation, manipulation, and study of the structure, dynamics, and functions of complex networks.
Project Description
Exploring the connections of ingredients in Indonesian dishes.