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

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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

Marina Ghosh

Whether you are curious and want to explore resources, or are embarking on a full-on career change, you don’t have to navigate this alone!

Marina is a Community Relations consultant at Flipside Crypto and a board member and contributor at MetricsDAO. Her X (formerly Twitter) account is https://twitter.com/queriesdata.

Gabriela: Can you walk me through your career journey and highlight the most significant experience or role that has shaped your current expertise in the crypto space? Please start with a short description of your current role.

Marina: In my work, I support data analysts in the blockchain analytics community as they grow their skills, produce open source insights that are valuable for Web3, and turn their skillset and passion into fulfilling careers. The fact that Web3 data, unlike data in Web2, is not proprietary or paywalled, creates a unique way for anyone to engage with it. The result is an ecosystem of enthusiasts and professionals that...