Network Science with Python
Network Science with Python provides a hands-on approach to the theory and implementation of network science. You’ll get a comprehensive explanation of how to use graph networks for data science using Python.
Offered by
Difficulty Level
Intermediate
Completion Time
13h48m
Language
English
About Book
Who Is This Book For?
Network Science with Python demonstrates how programming and social science can be combined to find new insights. Data scientists, NLP engineers, software engineers, social scientists, and data science students will find this book useful. An intermediate level of Python programming is a prerequisite. Readers from both – social science and programming backgrounds will find a new perspective and add a feather to their hat.
Network Science with Python
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 13h48m total length
Introducing Natural Language Processing
Network Analysis
Useful Python Libraries
NLP and Network Synergy
Even Easier Scraping
Graph Construction and Cleaning
Whole Network Analysis
Egocentric Network Analysis
Community Detection
Supervised Machine Learning on Network Data
Unsupervised Machine Learning on Network Data
Related Resources
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