Julia for Data Science (Video 26)

This video tutorial covers the use of Support Vector Machines (SVM) in machine learning, focusing on their application in classification and numeric prediction tasks. It demonstrates building and testing an SVM model using the iris dataset, evaluating model accuracy, and understanding the confusion matrix. The course concludes with a summary of key learnings and future applications of Julia in data science and artificial intelligence.

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