What are the key features of ML.NET?

What are the key features of ML.NET?

ML.NET is a cross-platform, open-source machine learning framework for .NET developers. Key features include support for various machine learning tasks, integration with existing .NET applications, and the ability to use custom models.

Can I use ML.NET for deep learning?

Yes, ML.NET supports deep learning through integration with TensorFlow and ONNX models, allowing you to leverage pre-trained models.

What types of machine learning tasks can I perform with ML.NET?

You can perform tasks such as classification, regression, clustering, anomaly detection, and recommendation systems using ML.NET.

Is there a way to visualize the data in ML.NET?

While ML.NET itself doesn't provide built-in visualization tools, you can use libraries like ML.NET Model Builder or integrate with tools like Power BI for data visualization.