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Rising Odegua - Building Data-Driven Applications with Danfo.js: A practical guide to data analysis and machine learning using JavaScript

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Rising Odegua Building Data-Driven Applications with Danfo.js: A practical guide to data analysis and machine learning using JavaScript
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Get hands-on with building data-driven applications using Danfo.js in combination with other data analysis tools and techniques

Key Features
  • Build microservices to perform data transformation and ML model serving in JavaScript
  • Explore what Danfo.js is and how it helps with data analysis and data visualization
  • Combine Danfo.js and TensorFlow.js for machine learning
Book Description

Most data analysts use Python and pandas for data processing for the convenience and performance these libraries provide. However, JavaScript developers have always wanted to use machine learning in the browser as well. This book focuses on how Danfo.js brings data processing, analysis, and ML tools to JavaScript developers and how to make the most of this library to build data-driven applications.

Starting with an overview of modern JavaScript, youll cover data analysis and transformation with Danfo.js and Dnotebook. The book then shows you how to load different datasets, combine and analyze them by performing operations such as handling missing values and string manipulations. Youll also get to grips with data plotting, visualization, aggregation, and group operations by combining Danfo.js with Plotly. As you advance, youll create a no-code data analysis and handling system and create-react-app, react-table, react-chart, Draggable.js, and tailwindcss, and understand how to use TensorFlow.js and Danfo.js to build a recommendation system. Finally, youll build a Twitter analytics dashboard powered by Danfo.js, Next.js, node-nlp, and Twit.js.

By the end of this app development book, youll be able to build and embed data analytics, visualization, and ML capabilities into any JavaScript app in server-side Node.js or the browser.

What you will learn
  • Perform data experimentation and analysis with Danfo.js and Dnotebook
  • Build machine learning applications using Danfo.js integrated with TensorFlow.js
  • Connect Danfo.js with popular database applications to aid data analysis
  • Create a no-code data analysis and handling system using internal libraries
  • Develop a recommendation system with Danfo.js and TensorFlow.js
  • Build a Twitter analytics dashboard for sentiment analysis and other types of data insights
Who this book is for

This book is for data analysts, data scientists, and JavaScript developers who want to create data-driven applications in the JavaScript/Node.js environment. Intermediate-level knowledge of JavaScript programming and data science using pandas is expected.

Table of Contents
  1. An Overview of Modern JavaScript
  2. Dnotebook - An Interactive Computing Environment for JavaScript
  3. Getting Started with Danfo.js
  4. Data Analysis, Wrangling, and Transformation
  5. Data Visualization with Plotly.js
  6. Data Visualization with Danfo.js
  7. Data Aggregation and Group Operations
  8. Creating a No-Code Data Analysis/Handling System
  9. Basics of Machine Learning
  10. Introduction to TensorFlow.js
  11. Building a Recommendation System with Danfo.js and TensorFlow.js
  12. Building a Twitter Analysis Dashboard
  13. Appendix: Essential JavaScript Concepts

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Building Data-Driven Applications with Danfo.js

A practical guide to data analysis and machine learning using JavaScript

Rising Odegua

Stephen Oni

Danfopress is an imprint of Packt Publishing

Building Data-Driven Applications with Danfo.js

Copyright 2021 Packt Publishing

All rights reserved. No part of this book may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, without the prior written permission of the publisher, except in the case of brief quotations embedded in critical articles or reviews.

Every effort has been made in the preparation of this book to ensure the accuracy of the information presented. However, the information contained in this book is sold without warranty, either express or implied. Neither the authors, nor Packt Publishing or its dealers and distributors, will be held liable for any damages caused or alleged to have been caused directly or indirectly by this book.

Packt Publishing has endeavored to provide trademark information about all of the companies and products mentioned in this book by the appropriate use of capitals. However, Packt Publishing cannot guarantee the accuracy of this information.

Group Product Manager: Kunal Parikh

Publishing Product Manager: Aditi Gour

Senior Editor: Roshan Kumar

Content Development Editor: Tazeen Shaikh

Technical Editor: Sonam Pandey

Copy Editor: Safis Editing

Project Coordinator: Aparna Ravikumar Nair

Proofreader: Safis Editing

Indexer: Rakhi Nair

Production Designer: Roshan Kawale

First published: September 2021

Production reference: 1190821

Published by Packt Publishing Ltd.

Livery Place

35 Livery Street

Birmingham

B3 2PB, UK.

ISBN 978-1-80107-085-0

www.packt.com

To the memory of my father, Odegua, for all the sacrifices and dedication to ensure I have a good life. To my mother, Success Odegua, thank you for all the support. To my siblings, Kelvin, Harrison, Peace, Efosa, and Jerimiah, I love you all.

Rising Odegua

I dedicate this to my parents (Mr and Mrs Oni) and to my lovely younger sister, and also to my friends and everyone who supported me during this period.

Stephen Oni

Contributors
About the authors

Rising Odegua is the co-creator of Danfo.js and Dnotebook. He is a software and machine learning engineer with experience building data-driven applications in languages such as Python and JavaScript. Rising is actively engaged in building the developer ecosystem by giving talks, providing direct/indirect mentorship, working on open source projects, hosting meetups, and writing tutorials.

Stephen Oni is the co-creator of Danfo.js and Dnotebook. He is a software developer at Datopian, building data-driven platforms and tools. He is also an open source developer building tools that intersect the web and machine learning.

About the reviewers

Gant Laborde is an owner of Infinite Red, mentor, adjunct professor, published author, and award-winning speaker. For 20 years, he has been involved in software development and is still going strong today. He is recognized as a Google Developers Expert in web and machine learning, but informally he is an open sourcerer and aspires to one day become a mad scientist. He blogs, videos, and maintains popular repositories for the community. He is CIO and owner of Infinite Red, a React Native and AI consulting company. He is also the author of Learning TensorFlow.js (O'Reilly Media, Inc.). Special thanks to the TensorFlow.js community for being welcoming, and to my loving family for their support.

Matvii Hodovaniuk is a full-stack developer. He likes to work with JavaScript tools and explore new technologies. He works on writing skills and tools that can help him with writing both code and text during his free time.

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