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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

Summary

In this chapter, we provided an overview of data science and Web3 concepts, covering fundamental aspects such as the typical steps involved in a data science project, the evolution of Web3, and essential concepts such as consensus, addresses, and gas. We also delved into prevalent metrics and challenges that exist in the rapidly evolving field of Web3.

In the forthcoming chapter, we will take a deeper dive into on-chain data, the primary dataset of Web3. Our exploration will encompass a detailed examination of blocks and transactions. We will also discuss various methods for accessing this invaluable data. By the end of that chapter, you will have acquired a robust understanding of on-chain data and how to effectively navigate and utilize it.

You have been reading a chapter from
Data Science for Web3
Published in: Dec 2023
Publisher: Packt
ISBN-13: 9781837637546
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