Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.
I built this project to practice microservices architecture, scalable systems (both horizontally and vertically), Clean Architecture, DDD and, above all, how to design systems assuming they will fail.
Now upgraded to .NET 9, this project is a super-fast, completely headless API powered by Clean Architecture, CQRS, and MediatR. It includes an ASP.NET Core Razor Pages implementation for inventory ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results