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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

(ebook) (audiobook) (audiobook) Książka w języku 1
Building Data-Driven Applications with Danfo.js. A practical guide to data analysis and machine learning using JavaScript Rising Odegua, Stephen Oni - okladka książki

Building Data-Driven Applications with Danfo.js. A practical guide to data analysis and machine learning using JavaScript Rising Odegua, Stephen Oni - okladka książki

Building Data-Driven Applications with Danfo.js. A practical guide to data analysis and machine learning using JavaScript Rising Odegua, Stephen Oni - audiobook MP3

Building Data-Driven Applications with Danfo.js. A practical guide to data analysis and machine learning using JavaScript Rising Odegua, Stephen Oni - audiobook CD

Autorzy:
Rising Odegua, Stephen Oni
Ocena:
Bądź pierwszym, który oceni tę książkę
Stron:
476
Dostępne formaty:
     PDF
     ePub
     Mobi
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, you’ll 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. You’ll also get to grips with data plotting, visualization, aggregation, and group operations by combining Danfo.js with Plotly. As you advance, you’ll 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, you’ll build a Twitter analytics dashboard powered by Danfo.js, Next.js, node-nlp, and Twit.js.
By the end of this app development book, you’ll be able to build and embed data analytics, visualization, and ML capabilities into any JavaScript app in server-side Node.js or the browser.

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O autorach książki

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.

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