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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
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2
Appendix 2
3
Appendix 3

Appendix 1

Let’s get started with the installation of the following environments.

Google Colaboratory

  1. Go to your Google Drive and open a Google Colaboratory document.
  2. Click on Connect:
Figure A1.1 – Connecting Colab

Figure A1.1 – Connecting Colab

  1. It will show Initializing, Allocating, Connecting, and then Connected:
Figure A1.2 – Connected

Figure A1.2 – Connected

  1. If you click on View resources, it will show you the computer you are working with:
Figure A1.3 – View resources

Figure A1.3 – View resources

Anaconda

  1. Go to https://www.anaconda.com/ and click Download. It will download Python and multiple popular libraries:
Figure A1.4 – Downloading Anaconda

Figure A1.4 – Downloading Anaconda

An executable file will be downloaded. Launch it.

  1. Click on the Next button and read and accept the license agreement:
Figure A1.5 – Launching setup file

Figure A1.5 – Launching setup file

  1. Some additional...
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Data Science for Web3
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