Build Your First ML.NET Model All in One C# File
New to ML.NET? Train, evaluate and save your first regression model in one C# file, with fixes for the common errors you'll run into.
Tutorials and ideas.
New to ML.NET? Train, evaluate and save your first regression model in one C# file, with fixes for the common errors you'll run into.
Is ML.NET still worth learning? An honest look at where it beats an LLM, where it falls short, and a cheat sheet for choosing the right .NET AI tool.
Build a URL uptime checker in a single C# file with .NET 10 file-based apps. No project or solution needed, plus NuGet packages.
Read and write Parquet files in C# with Parquet.NET, and see why Parquet beats CSV for large datasets. Includes a complete example.
How the machine learning process, from data to a deployed model, mirrors cooking a meal, and why following the process leads to better models.
Build an F# web app with the SAFE Stack and serve ML.NET predictions from it, using F# on both the server and the client.
What's new in the ML.NET CLI, including the new platform-specific install names and other updates.