machinelearning and machinelearning-samples
ML.NET is the core framework library, while machinelearning-samples provides accompanying code examples and tutorials that demonstrate how to use ML.NET—making them complements designed to be used together.
About machinelearning
dotnet/machinelearning
ML.NET is an open source and cross-platform machine learning framework for .NET.
This framework helps .NET developers integrate machine learning capabilities directly into their applications without needing deep ML expertise or learning other programming languages. You provide your data from files or databases, and it outputs custom models capable of tasks like predicting outcomes, categorizing data, or identifying unusual patterns. This is for software developers building applications who want to embed predictive intelligence.
About machinelearning-samples
dotnet/machinelearning-samples
Samples for ML.NET, an open source and cross-platform machine learning framework for .NET.
This project provides practical examples of how to incorporate machine learning capabilities into software applications built with .NET. It shows how to take diverse datasets—like customer reviews, sales figures, or sensor readings—and use them to train models that can then make predictions, classify information, or recommend products. Software developers who use the .NET framework would find these samples useful for adding AI features to their applications.
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