Classification Experiments with ML.NET AutoML
Resources for Chapter 7 of Data Science in .NET with Polyglot Notebooks
Chapter 7 of Data Science in .NET with Polyglot Notebooks is the first chapter in part 2 of the book and begins our journey into machine learning by showing us binary classification in ML.NET using AutoML. This chapter has a heavy focus on machine learning concepts such as test / train split, binary classification metrics, permutation feature importance, and confusion matrixes.
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Additional Resources
These resources and notes are likely to be helpful while reading Chapter 7 of Data Science in .NET with Polyglot Notebooks.
