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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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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

Generative Art for NFTs

“I use data as a pigment and paint with a painting brush that is assisted by artificial intelligence.”

– Refik Anadol

In this chapter, we’ll take an artistic break and indulge in some creativity. While our previous focus was on analyzing content generated by others on the blockchain, in this chapter, we will be creating our own content to be added to the blockchain.

The inclusion of this chapter stems from the recognition that, as data scientists, we might encounter requests to produce or assist in crafting an NFT collection in collaboration with a group of artists. In Chapter 4, we studied the artistic applications of NFTs and explored notable collections, such as Bored Ape, which has a total traded volume of 978,382 ETH (approximately USD 1,800 million). We do not know whether they used AI to produce all the images, but they are a good use case of how art can be owned and traded on the blockchain. To be able to participate...

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