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Data Science for Web3

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

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Product type Paperback
Published in Dec 2023
Publisher Packt
ISBN-13 9781837637546
Length 344 pages
Edition 1st Edition
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Concepts
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Author (1):
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Gabriela Castillo Areco Gabriela Castillo Areco
Author Profile Icon Gabriela Castillo Areco
Gabriela Castillo Areco
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Toc

Table of Contents (23) Chapters Close

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 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...

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