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Data Science for Web3

You're reading from Data Science for Web3

Product type Book

Published in Dec 2023

Publisher Packt

ISBN-13 9781837637546

Pages 344 pages

Edition 1st Edition

Languages

Concepts

Author (1):

Gabriela Castillo Areco

Table of Contents (23) Chapters

Preface

1. Part 1 Web3 Data Analysis Basics

2. Chapter 1: Where Data and Web3 Meet

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

Why subscribe?

19. Other Books You May Enjoy

Appendix 1

1. Appendix 2

2. Appendix 3

Index

As this ebook edition doesn't have fixed pagination, the page numbers below are hyperlinked for reference only, based on the printed edition of this book.

Symbols

1Inch team

reference link 121

A

accuracy 162

activation functions 164

Agile methods 275

Akaike information criterion (AIC) 243

ambiguity 185

Annual Percentage Yield (APY) 122

anotherblock.io 92

Application Binary Interface (ABI) 18, 62, 142

application programming interfaces (APIs) 23

REST API 24

RPC APIs 24

arbitrage 124

ARIMA/SARIMAX 241

ARIMA with eXplanatory variables (ARIMAX) 238

art business, with blockchain

anti-money laundering (AML) practices 102

artist 92

business landscape 91, 92

clients 92

data extraction 93

floor price 97, 98

marketplace 92

redefining 91

wash trading 98-102

artificial intelligence

venn diagram 153

Auto ARIMA 241

automated market maker (AMM) platforms 116

B

balanced...

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Authors (1)

Gabriela Castillo Areco

Gabriela Castillo Areco holds an M.Sc. in big data science from the TECNUM School of Engineering, University of Navarra. With extensive experience in both the business and data facets of blockchain technology, Gabriela has undertaken roles as a data scientist, machine learning analyst, and blockchain consultant in both large corporations and small ventures. She served as a professor of new crypto businesses at Torcuato di Tella University and is currently a member of the BizOps data team at IOV Labs.

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