dotnet-mlnet

What problem does it solve?

This Skill addresses the complexity of integrating machine learning into .NET applications by providing guidance and code examples for using ML.NET. It helps developers train, evaluate, and deploy ML models without needing deep ML expertise.

Core Features & Use Cases

• Model Training & Evaluation: Train various ML models (classification, regression, clustering, etc.) using ML.NET.
• Data Preparation & Feature Engineering: Guidance on preparing data and creating effective features.
• Integration: Examples for integrating trained models into .NET applications for real-time predictions or batch processing.
• Use Case: A .NET developer needs to add a recommendation engine to their e-commerce application. This Skill provides the necessary ML.NET code and patterns to train a recommendation model using user rating data and integrate it into the application's API.

Quick Start

Use the dotnet-mlnet skill to train a sentiment analysis model using the provided dataset.