Building Intelligent .NET MAUI Apps with ML.NET
summary
Shows end-to-end, runnable work: a .NET MAUI app that loads ML.NET models locally and runs regression, binary classification and image classifiers on-device. Uses ML.NET CLI and SDK on Kaggle CSVs to produce a loan predictor with ~97% accuracy and a medical-cost regressor with mean absolute error ≈ $250 and R² ≈ 0.99. Uses Azure Custom Vision exported as ONNX exported from Custom Vision, inspected with Netron, and runs offline after adding ML.NET/ONNX NuGet packages and platform-fixups for Android/iOS.
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chapters (8)
- 0:00ML.NET and .NET MAUI intro
- 1:07What is ML.NET
- 7:18ML.NET overview and AutoML
- 10:13Loan approval model with CLI
- 21:29Training models with SDK
- 35:30ONNX and Azure Custom Vision
- 43:18ONNX models in .NET MAUI
- 51:31Summary and Q&A
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