ML.NET allows .NET developers to build, train, deploy, and consume custom machine learning models without requiring expertise in Python or R. It provides data loading from files and databases, data transformations, and many ML algorithms for tasks like classification, forecasting, and anomaly detection. The framework can also consume TensorFlow and ONNX models, extending its capabilities beyond native algorithms.