Data Science and Machine Learning (Theory and Projects) A to Z - Machine Learning Methods: Classification Practice with

The video tutorial demonstrates classification using the Iris dataset with a focus on Support Vector Machines (SVM) in scikit-learn. It covers loading and preparing the dataset, training the SVM model, and evaluating its predictions. The tutorial concludes with a brief introduction to clustering, setting the stage for future videos.

What does the predict function do in the context of the model created?

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How can the model be used to predict classes on new samples?

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What future topics related to classification and regression does the teacher plan to cover?

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