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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

Exploring the Digital Uniqueness of NFTs – Games, Art, and Identity

In this chapter, we will explore non-fungible tokens (NFTs) and their various economic use cases. We will begin by understanding what an NFT is, how the relevant information is logged in transaction data, and the alternatives to obtaining it. Additionally, we will analyze how this technology is being leveraged by the gaming, art, and identity industries and explore some of the metrics that hold relevance for each business.

Business initiatives are carried out by a set of smart contracts that we will refer to as “protocols.” We will delve into the fundamental protocol metrics, offering quick insights into each protocol’s structure and user composition. To do that, we can choose to use a data framework, which is a highly valuable tool for business analysts as it helps organize our analyses and craft a compelling narrative when presenting our findings. An example of such a structure is the...

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