JavaScript (Node.js) for Data Science

The world of data science has long been monopolized by Python and R. But with the growing performance of Node.js and the emergence of powerful libraries, JavaScript has become a full-fledged tool for data analysis. The book "JavaScript (Node.js) for Data Science" is a practical guide that proves: you don't have to learn a new language to work with data if you already know JavaScript.

The book is structured as a sequential progression from the basics of working with data to building production-ready machine learning models. You'll start with simple scripts for parsing and cleaning data, and finish by deploying neural network models in the cloud.

What you will learn:

• How to work with CSV, JSON, Excel, and databases (SQLite, MongoDB) in Node.js
• Libraries for numerical calculations: mathjs, ml-matrix, simple-statistics
• Data visualization with Plotly.js, Chart.js, and D3.js
• Implementing machine learning algorithms (linear regression, decision trees, clustering) in pure JavaScript
• Using TensorFlow.js for neural networks and deep learning
• Natural language processing (NLP) with compromise and natural
• Creating APIs for ML models with Express.js and deploying on Vercel/Heroku
• Parallel processing of large data with Worker Threads and Stream API

Who this book is for:

• Frontend and backend JavaScript developers looking to expand their skills in data science
• Technical students studying Node.js
• Analysts who want to automate reports and dashboards without switching to Python
• Anyone interested in machine learning but not wanting to learn a new syntax

In each chapter, you'll find real-world examples: from analyzing web server logs to building a recommendation system for an online store. All source code is available in a GitHub repository. By the end of the book, you will be able to independently create data processing pipelines, train models, and integrate them into web applications on Node.js.

Whether you work with Big Data or simply want to add "data scientist" to your resume, this book will be your guide to the world of data analysis in JavaScript.