.NET ML Foundations: Build and Evaluate Models with ML.NET

14 hours 0 Enrolled No ratings yet Intermediate

Build practical machine-learning features with C#

Learn the complete ML.NET workflow: define a prediction problem, load and transform data, train classification and regression models, evaluate them with task-appropriate metrics, save model artifacts, and serve predictions from ASP.NET Core.

The course uses code-first examples and emphasizes reproducibility, leakage prevention, operational safety, and honest measurement.

$120.00 $150.00
  • Intermediate
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What's included

  • Complete C# training and inference examples
  • Sample tabular datasets
  • Metric interpretation worksheet
  • Deployment and model-card checklist

Requirements

  • Comfort with C# classes, LINQ, and NuGet
  • Basic .NET console and ASP.NET Core experience
  • No previous machine-learning experience required

Audience

  • C# developers new to machine learning
  • .NET backend developers adding predictive features
  • Technical learners who prefer code-first ML workflows

What Will I Learn?

  • Translate a business question into an ML.NET task, label, features, and success metric.
  • Load, inspect, clean, and transform data with IDataView pipelines.
  • Train classification and regression models and compare meaningful metrics.
  • Prevent target leakage and use train/test splits and cross-validation correctly.
  • Save, load, version, and consume ML.NET models in .NET applications.
  • Expose a tested prediction endpoint from ASP.NET Core.

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