Real-World ML.NET Examples

Explore practical machine learning solutions built with .NET

Sentiment Analysis

Classify user reviews as positive or negative using ML.NET's text classification pipeline.

Image Classification

Identify objects in images with a transfer learning model built on ML.NET and TensorFlow.

Sales Forecasting

Predict future sales using time‑series regression and ML.NET's forecasting API.

Anomaly Detection

Detect outliers in manufacturing sensor data with unsupervised ML.NET models.

Spam Filtering

Build a real‑time spam filter for emails using ML.NET's binary classification.

Style Transfer

Apply artistic styles to images with a custom ML.NET model leveraging ONNX.