C# (.NET) for Data Science: Data Analysis and Machine Learning
300 pages
English
PDF
4.5

C# (.NET) for Data Science: Data Analysis and Machine Learning

C# (.NET) for Data Science: Data Analysis and Machine Learning

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Summary:

The book "C# (.NET) for Data Science" is a practical guide for developers and analysts who want to leverage the power of the .NET platform for data analysis, statistics, and machine learning tasks. Unlike many publications focused exclusively on Python, this book proves that C# is a full-fledged tool for Data Science, especially in a corporate environment.



Who is this book for?

  • C# developers looking to expand their skills into data analysis and ML.
  • Data analysts working in the Microsoft ecosystem who want to integrate models directly into existing .NET applications.
  • Students and beginners choosing C# as their primary programming language.


What will you learn from this book?

  • Data Fundamentals: Loading, cleaning, and transforming data using LINQ, DataFrames (Microsoft.Data.Analysis), and the Deedle library.
  • Visualization: Creating charts and dashboards using Plotly.NET, LiveCharts, and .NET Interactive notebooks.
  • Machine Learning with ML.NET: Building, training, and deploying models (classification, regression, clustering, recommendations) without deep mathematical knowledge.
  • Deep Learning: Integration with TensorFlow.NET and TorchSharp for working with neural networks.
  • Python Integration: Using Python libraries (NumPy, Pandas, Scikit-learn) directly from C# via Python.NET.
  • Production: Packaging models into web services (ASP.NET Core), console utilities, and Azure DevOps pipelines.


Why choose this book?

  • All code examples are written in modern C# 12 and .NET 8.
  • Real-world cases: from log analysis to sales forecasting and image processing.
  • Step-by-step instructions for setting up the environment (Jupyter Notebooks, Visual Studio, VS Code).
  • Comparison of C# and Python approaches — you will understand which tool is better for which scenario.


The book is suitable for both beginners and experienced programmers. To get started, you only need a basic knowledge of C# syntax. You will learn to build complete data pipelines and integrate AI features into your applications without switching to other languages.



Join the community of .NET developers who are already using C# for Data Science. Make your applications smarter with this book!

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