The following tutorials enable you to understand how to use ML.NET to build custom machine learning solutions and integrate them into your .NET applications:
- Sentiment analysis: demonstrates how to apply a binary classification task using ML.NET.
- Taxi fare predictor: demonstrates how to apply a regression task using ML.NET.
- Iris clustering: demonstrates how to apply a clustering task using ML.NET.
For more examples that use ML.NET, check the dotnet/machinelearning-samples GitHub repository.