dotnet/machinelearning-samples

Covers binary/multiclass classification, regression, time series forecasting, anomaly detection, and recommendation systems using matrix factorization and field-aware factorization machines. Organized as both minimal console getting-started samples and full end-to-end web/desktop applications demonstrating model integration into production .NET workflows. Available in C# and F#, with concrete domain examples like sentiment analysis, fraud detection, and demand prediction.

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