Data Science for Web3: A comprehensive guide to decoding blockchain data with data analysis basics and machine learning cases - Softcover

Gabriela Castillo Areco

Softcover

ISBN 10: 1837637547 ISBN 13: 9781837637546

Verlag: Packt Publishing, 2023

Inhaltsangabe

​From zero to hero with blockchain data. Learn how to travel a business data science pipeline and build real world solutions for Web 3

Key Features

• ​Get to grips with the blockchain´s analytics fundamentals
• ​Discover real world solutions by modeling blockchain data and learn to present/ deploy your projects
• ​Showcase your work and learn to build experience to launch your next opportunity in Web 3

Book Description

​Data is the new Oil and Web 3 is starting to generate lots of it. This book aims to be a step-by-step guide for a data science project with practical examples, explanations, and ideas for portfolio development. ​In four main blocks, independent from each other, you’ll discover the industry best practices, tools, and sources needed to navigate your way as a professional of data in Web 3. Start by understanding blockchain key concepts and the essential data science tools needed to work in Web 3 projects. ​Read into the next chapters to explore the main sources of data that can help cope with those industry challenge​s​, decoding smart contracts and building datasets. ​Disentangle feature engineering questions that may arise when dealing with blockchain data before diving in deeper into machine learning use cases where crypto data is being used. The book includes real world examples based on interviewed executives from renowned companies that are facing technical challenges when using data to foster innovation in the Web 3 environment.

​Lastly, we will learn how to build experience ​in​ crypto data that you will able to demonstrate to recruiters in job interviews, academic purposes or potential clients. By the end of this book, you will be able to build complete data science projects using blockchain data.

What you will learn

• Discover onchain and offchain data and build datasets for ERC 721 tokens
• Leverage data science to answer industry-specific business questions in Web 3
• Learn where and how to showcase your work to land a Web 3 job
• Develop a portfolio showcasing sentiment analysis and crypto art generation projects

Who This Book Is For

​If you are a Data Scientist, Blockchain developer, Web 3 Engineer you will learn how to extract data from the Web 3 ecosystem. If you are a business related professional additionally you will learn to use data science tools in the context of blockchain data. Some information of Data science would be needed to get the best of this book.

Table of Contents

1. Where Data and Web3 Meet
2. Working with On-Chain Data
3. Off chain data
4. NFTs datasets (Games, art, ENS)
5. Exploratory data analysis & feature engineering
6. Implementing Machine Learning Techniques on Crypto Data
7. Sentiment analysis: NLP and crypto news
8. Generative art: art and AI for NFTs
9. Fraud detection: Anomaly detection
10. Price prediction: with time series
11. Marketing discovery: Graphs
12. Data Narratives and deployment
13. Building experience with crypto data – Buidl
14. Companies’ initiatives

Über diesen Titel

Über die Autorin bzw. den Autor

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.

Details zur Ausgabe

• Verlag: Packt Publishing
• Erscheinungsdatum: 2023
• Sprache: Englisch
• ISBN 10: 1837637547
• ISBN 13: 9781837637546
• Einband: Taschenbuch
• Anzahl der Seiten: 363
• Kontakt zum Hersteller: Nicht verfügbar
• Verantwortliche Person: gpsr@libri.de; gpsr@libri.de; ; Friedensallee 273; Hamburg; 22763; Deutschland