The below is a classification example with Titanic dataset. Able to reach 75% accuracy within 10 epoch.

ML.NET is a cross-platform open-source machine learning (ML) framework for .NET. ML.NET allows developers to easily build, train, deploy, and consume custom models in their .NET applications without ...

Dr. James McCaffrey of Microsoft Research presents a full demo of k-nearest neighbors classification on mixed numeric and categorical data. Compared to other classification techniques, k-NN is easy to ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end program that explains how to perform binary classification (predicting a variable with two possible discrete values) using ...

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Lobe is a free client app that helps any user to bring machine learning ideas into reality. Just show it examples of what you want it to learn, and it automatically trains a custom machine learning ...