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The following tutorials enable you to understand how to use [ML.NET](../index.md) to build custom machine learning solutions and integrate them into your .NET applications:
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*[Sentiment Analysis](sentiment-analysis.md): demonstrates how to apply a binary classification task using ML.NET.
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*[Taxi Fare Predictor](taxi-fare.md): demonstrates how to apply a regression task using ML.NET.
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*[Sentiment analysis](sentiment-analysis.md): demonstrates how to apply a binary classification task using ML.NET.
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*[Taxi fare predictor](taxi-fare.md): demonstrates how to apply a regression task using ML.NET.
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For more examples that use ML.NET, check the [dotnet/machinelearning-samples](https://github.com/dotnet/machinelearning-samples) GitHub repository.
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