ML.NET is a cross-platform machine learning framework which provides state-of-art machine learning algorithms, transforms and components. ML.NET allows .NET developers to develop/train models and integrate machine learning with their .NET applications, even without prior expertise of tuning machine learning models.

In this blog post, we will make a web application to recognize handwriting numbers using ML.NET. The demo web app is running in a Linux container, which demonstrates the cross-platform capability of ML.NET and ASP.NET Core.

This solution contains two ML.NET models. One is about Handwriting Recognition, the other one is about taxi fare prediction.

Feel free to use the code in this repository as it is under MIT license.