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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
Languages
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

Professor One Digit

A blockchain is not a traditional database. Analysts don’t write to it or correct it.

Professor One Digit is a data scientist at Sovryn. His X (formerly Twitter) account can be found at https://twitter.com/onedigitmoney.

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.

Professor One Digit: I am currently in the role of a data analyst as well as technical communicator for Sovryn. These two things go together, as each part of the role informs the other. I came into this role in an unusual way. I spent over 30 years in academia as an engineering professor before joining Sovryn, where I evolved into my current role from a purely technical communication role. I am very comfortable with high-level math, mathematical modeling, and programming. I’m also experienced as a technical...

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