This Getting Started Tutorial systematically demonstrates the typical ML work process step-by-step using the powerful and performant Support Vector Classifier (SVC) and the beginner-friendly Iris Dataset. Furthermore, the selection of the correct SVC kernel and its parameters are described and their effects on the classification result are shown.
License: GNU General Public License v3.0
I would like to add some of my notebooks in your repository, can i?
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An Open Source Machine Learning Framework for Everyone
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