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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
Author (1):
Gabriela Castillo Areco Gabriela Castillo Areco
Profile icon Gabriela Castillo Areco

Table of Contents (23) Chapters

Preface Part 1 Web3 Data Analysis Basics
Chapter 1: Where Data and Web3 Meet Chapter 2: Working with On-Chain Data Chapter 3: Working with Off-Chain Data Chapter 4: Exploring the Digital Uniqueness of NFTs – Games, Art, and Identity Chapter 5: Exploring Analytics on DeFi Part 2 Web3 Machine Learning Cases
Chapter 6: Preparing and Exploring Our Data Chapter 7: A Primer on Machine Learning and Deep Learning Chapter 8: Sentiment Analysis – NLP and Crypto News Chapter 9: Generative Art for NFTs Chapter 10: A Primer on Security and Fraud Detection Chapter 11: Price Prediction with Time Series Chapter 12: Marketing Discovery with Graphs Part 3 Appendix
Chapter 13: Building Experience with Crypto Data – BUIDL Chapter 14: Interviews with Web3 Data Leaders Index Other Books You May Enjoy Appendix 1
Appendix 2
Appendix 3

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