Data Science for Web3
Packt Publishing Limited (Verlag)
978-1-83763-754-6 (ISBN)
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 DescriptionData 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 challenges, 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 forIf 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.
Gabriela Castillo Areco has an M. Sc. in Big Data Science from TECNUM School of Engineering, University of Navarra. Gabriela has extensive experience in both the business and data aspects of the blockchain technology. She has worked in large companies and small ventures in roles as data scientist, data engineer and blockchain consultant before her current position (at the time of publishing) in IOV Lab’s BizOps team.
Table of Contents
Product Information Document
Where Data and Web3 Meet
Working with On-Chain Data
Off chain data
NFTs datasets (Games, art, ENS)
Exploratory data analysis & feature engineering
Implementing Machine Learning Techniques on Crypto Data
Sentiment analysis: NLP and crypto news
Generative art: art and AI for NFTs
Fraud detection: Anomaly detection
Price prediction: with time series
Marketing discovery: Graphs
Data Narratives and deployment
Building experience with crypto data – Buidl
Companies’ initiatives
| Erscheinungsdatum | 12.12.2023 |
|---|---|
| Verlagsort | Birmingham |
| Sprache | englisch |
| Maße | 191 x 235 mm |
| Themenwelt | Mathematik / Informatik ► Informatik ► Datenbanken |
| Mathematik / Informatik ► Informatik ► Theorie / Studium | |
| ISBN-10 | 1-83763-754-7 / 1837637547 |
| ISBN-13 | 978-1-83763-754-6 / 9781837637546 |
| Zustand | Neuware |
| Haben Sie eine Frage zum Produkt? |
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