You're reading from Data Science for Web3 A comprehensive guide to decoding blockchain data with data analysis basics and machine learning cases

Product type Paperback

Published in Dec 2023

Publisher Packt

ISBN-13 9781837637546

Length 344 pages

Edition 1st Edition

Languages

Python

Tools

Blockchain

Concepts

Blockchain

Author (1):

Gabriela Castillo Areco

View More author details

Table of Contents (23) Chapters

Preface

1. Part 1 Web3 Data Analysis Basics

2. Chapter 1: Where Data and Web3 Meet FREE CHAPTER

3. Chapter 2: Working with On-Chain Data

4. Chapter 3: Working with Off-Chain Data

5. Chapter 4: Exploring the Digital Uniqueness of NFTs – Games, Art, and Identity

6. Chapter 5: Exploring Analytics on DeFi

7. Part 2 Web3 Machine Learning Cases

8. Chapter 6: Preparing and Exploring Our Data

9. Chapter 7: A Primer on Machine Learning and Deep Learning

10. Chapter 8: Sentiment Analysis – NLP and Crypto News

11. Chapter 9: Generative Art for NFTs

12. Chapter 10: A Primer on Security and Fraud Detection

13. Chapter 11: Price Prediction with Time Series

14. Chapter 12: Marketing Discovery with Graphs

15. Part 3 Appendix

16. Chapter 13: Building Experience with Crypto Data – BUIDL

17. Chapter 14: Interviews with Web3 Data Leaders

18. Index

Why subscribe?

19. Other Books You May Enjoy

Appendix 1

1. Appendix 2

2. Appendix 3

Summary

In conclusion, this chapter delved into the fundamentals of graph networks, exploring various aspects such as node features, graph types, and their significance in data analysis. By understanding these foundational concepts, we laid the groundwork for further exploration and analysis of complex networks.

Expanding on this knowledge, we explored the characteristics of influential nodes within a graph formed by the interactions between two distinct communities --one centralized, such as Binance, and the other decentralized, such as OpenSea.

Marketing solutions are crucial in this stage of the Web3 economy. Companies such as Spindl are actively building tools to bridge the information and granularity gap between the Web2 and Web3 worlds. To achieve this, they are concentrating on attribution mechanisms that measure the actual impact of advertising on the protocols. Once attribution is achieved, it is needed to identify communities to target with campaigns. To aid this objective...