Supervised Machine Learning with C# and ML.NET

This training course will introduce you to Microsoft’s ML.NET machine learning library. You’ll gain a solid understanding of machine learning and artificial intelligence, including key concepts such as feature engineering, regression and classification.

As you progress through the course material, you’ll design, train, and evaluate sophisticated machine learning models on your computer using C# and ML.NET.

I'll provide you with all required datasets, source code, and libraries to help you get started and build your own machine learning applications with confidence.

In this lesson I introduce one of the most common metrics in machine learning: the accuracy. The lesson covers how accuracy can be unreliable when the dataset is biased, the meaning of false positives and false negatives, and how to interpret the confusion matrix in real-world scenarios.