Jan 04 2024 Data Science for Web3: Complete guide to exploring, modeling and building apps with Blockchain based data BaDshaH LEARNING / e-Book 05:20 0 2024 | English | B0C6QQBLZ8 | EPUB | 555 pages | 14.39 MBFrom zero to hero with blockchain data. Learn how to travel a business data science pipeline and build real world solutions for Web 3 Key FeaturesGet to grips with the blockchain´s analytics fundamentalsDiscover real world solutions by modeling blockchain data and learn to present/ deploy your projectsShowcase your work and learn to build experience to launch your next opportunity in Web 3Book 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 learnDiscover onchain and offchain data and build datasets for ERC 721 tokensLeverage data science to answer industry-specific business questions in Web 3Learn where and how to showcase your work to land a Web 3 jobDevelop a portfolio showcasing sentiment analysis and crypto art generation projectsWho 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.Table of ContentsWhere Data and Web3 MeetWorking with On-Chain DataOff chain dataNFTs datasets (Games, art, ENS)Exploratory data analysis & feature engineeringImplementing Machine Learning Techniques on Crypto DataSentiment analysis: NLP and crypto newsGenerative art: art and AI for NFTsFraud detection: Anomaly detectionPrice prediction: with time seriesMarketing discovery: GraphsData Narratives and deploymentBuilding experience with crypto data – BuidlCompanies' initiativeshttps://rapidgator.net/file/6e4ca54ca70b1ebfe2d66aa3be412725https://nitroflare.com/view/0B57466BB657BFF Related News Udemy - Complete Machine Learning & Data Science with Python | A-ZDeep Learning: Python Deep Learning MasterclassThe Blender 4 Ultimate GuidePython & Data Science with R | Python & R ProgrammingThe Complete Autocad Course: 30 Days Drafting And Modeling Comments (0)Add comment Submit NEWEST RELEASES 18.05: Allavsoft Video Downloader Converter 3.27.0.8904 Multilingual Portable 18.05: FastStone Capture 10.5 Multilingual Portable 18.05: UniFab 2.0.2.1 (x64) Multilingual Portable 18.05: Windows 7 Ultimate SP1 Multilingual Preactivated May 2024 18.05: Windows 7 Professional SP1 Multilingual Preactivated May 2024 18.05: O&O SafeErase Professional / Server 19.2.1034 (x64) 17.05: MetaProducts Portable Offline Browser 8.6.0.4976 Multilingual Portable 17.05: ACDSee Photo Studio Professional 2024 17.1.1.2859 (x64) Portable 17.05: ACDSee Photo Studio Ultimate 2024 17.1.1.3800 (x64) Portable 17.05: EndNote 21.3 macOS Recommended Filehosts Freinds Site