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- Data Science for Web3. A comprehensive guide to decoding blockchain data with data analysis basics and machine learning cases
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Data Science for Web3. A comprehensive guide to decoding blockchain data with data analysis basics and machine learning cases
Gabriela Castillo Areco, José Dahlquist
Ebook
Data is the new oil and Web3 is generating it at an unprecedented rate. Complete with practical examples, detailed explanations, and ideas for portfolio development, this comprehensive book serves as a step-by-step guide covering the industry best practices, tools, and resources needed to easily navigate the world of data in Web3.
You’ll begin by acquiring a solid understanding of key blockchain concepts and the fundamental data science tools essential for Web3 projects. The subsequent chapters will help you explore the main data sources that can help address industry challenges, decode smart contracts, and build DeFi- and NFT-specific datasets. You’ll then tackle the complexities of feature engineering specific to blockchain data and familiarize yourself with diverse machine learning use cases that leverage Web3 data.
The book includes interviews with industry leaders providing insights into their professional journeys to drive innovation in the Web 3 environment. Equipped with experience in handling crypto data, you’ll be able to demonstrate your skills in job interviews, academic pursuits, or when engaging potential clients.
By the end of this book, you’ll have the essential tools to undertake end-to-end data science projects utilizing blockchain data, empowering you to help shape the next-generation internet.
You’ll begin by acquiring a solid understanding of key blockchain concepts and the fundamental data science tools essential for Web3 projects. The subsequent chapters will help you explore the main data sources that can help address industry challenges, decode smart contracts, and build DeFi- and NFT-specific datasets. You’ll then tackle the complexities of feature engineering specific to blockchain data and familiarize yourself with diverse machine learning use cases that leverage Web3 data.
The book includes interviews with industry leaders providing insights into their professional journeys to drive innovation in the Web 3 environment. Equipped with experience in handling crypto data, you’ll be able to demonstrate your skills in job interviews, academic pursuits, or when engaging potential clients.
By the end of this book, you’ll have the essential tools to undertake end-to-end data science projects utilizing blockchain data, empowering you to help shape the next-generation internet.
- 1. Where Data and Web3 Meet
- 2. Working with On-Chain Data
- 3. Working with Off-Chain Data
- 4. Exploring the Digital Uniqueness of NFTs – Games, Art, and Identity
- 5. Exploring Analytics on DeFi
- 6. Preparing and Exploring Our Data
- 7. A Primer on Machine Learning and Deep Learning
- 8. Sentiment Analysis – NLP and Crypto News
- 9. Generative Art for NFTs
- 10. A Primer on Security and Fraud Detection
- 11. Price Prediction with Time Series
- 12. Marketing Discovery with Graphs
- 13. Building Experience with Crypto Data – BUIDL
- 14. Interviews with Web3 Data Leaders
- Title: Data Science for Web3. A comprehensive guide to decoding blockchain data with data analysis basics and machine learning cases
- Author: Gabriela Castillo Areco, José Dahlquist
- Original title: Data Science for Web3. A comprehensive guide to decoding blockchain data with data analysis basics and machine learning cases
- ISBN: 9781837635580, 9781837635580
- Date of issue: 2023-12-29
- Format: Ebook
- Item ID: e_3rge
- Publisher: Packt Publishing