For .NET developers, is the primary framework for building machine learning features using familiar C# or F# logic . It integrates directly into the .NET ecosystem, allowing you to add predictive capabilities to web, mobile, and desktop applications without needing specialized data science expertise.

: Build a model to classify incoming messages as spam or legitimate based on subject lines and message body patterns.

These features focus on core ML tasks like classification and regression using standard datasets.

: Use Regression to predict property values based on features like square footage, location, and year built.

: Use Binary Classification to automatically tag user reviews or social media mentions as "Positive" or "Negative".

: Implement Multi-class Classification to automatically route incoming customer support emails to the correct department (e.g., Billing, Technical Support, Sales). Adding Machine Learning to .Net Applications