CSharp-Coder

Learn ML.NET with this step-by-step C# tutorial. Build, train, and deploy your first machine learning model in .NET with practical code examples. If you've ever wanted to add machine learning to a .NET application without leaving C#, this ML.NET tutorial is where you start. ML.NET is Microsoft's open-source, cross-platform framework that lets C# and F# developers build, train, and deploy custom machine learning models — no Python required, no context switching, just the language and ecosystem you already know. In this hands-on guide, you'll build a complete machine learning model in C# from scratch. We'll walk through real, runnable code that loads data, trains a binary classification model, evaluates its accuracy, and makes predictions — all using ML.NET in a standard .NET console application. By the end, you'll understand the ML.NET pipeline architecture, know how to pick the right algorithm for your problem, and have a working model you can integrate ...