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  • Book Overview & Buying Data Science for Web3
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Data Science for Web3

Data Science for Web3

By : Gabriela Castillo Areco
5 (3)
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Data Science for Web3

Data Science for Web3

5 (3)
By: Gabriela Castillo Areco

Overview of this book

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.
Table of Contents (23 chapters)
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1
Part 1 Web3 Data Analysis Basics
7
Part 2 Web3 Machine Learning Cases
15
Part 3 Appendix
1
Appendix 1
2
Appendix 2
3
Appendix 3

Data preparation

When dealing with information collected from diverse data sources, it is crucial to ensure consistency and uniformity across all records and fields before extracting insights or feeding the data into a machine learning model. In this section, we will explore various data preparation tasks that are particularly relevant to on-chain data.

Hex values

Hexadecimal notation is a base 16 system, utilizing symbols to represent numerical values from 0 to 9 and letters from A to F. In contrast, our everyday decimal notation employs 10 symbols to represent numerical values (0–9). Hexadecimal notation extends the range by including A to F, representing values from 10 to 15. This notation is often used for data storage purposes due to its efficiency in representing binary numbers with each hex digit representing 4 bits.

In the example presented in Chapter06/Preparation, we retrieve the latest block number from the Rootstock public node by following the documentation...

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Data Science for Web3
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