Welcome To Supervised Machine Learning With C# And ML.NET

Hi, welcome to this course! I'm very happy to meet you here.

In the upcoming lessons, I'm going to teach you how to build, train and evaluate machine learning models in C# with the ML.NET machine learning library. We'll focus on how to evaluate a dataset and determine which feature engineering steps are required to prepare the data for training, how to train regression and binary- and multi-class classification models on the data, and how to evaluate the predictions of a fully-trained model.

You will build several machine learning applications in C# and work with well-known datasets like the New York TLC taxi fare dataset and the MNIST dataset which contains images of handwritten text.

My goal with this training is to get you to a basic level of knowledge, where you can independently build machine learning apps for any dataset, optimize your model training process, and accurately evaluate the performance of your model predictions.

Shall we start?

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