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Support Vector Machine (SVM) is a powerful classification algorithm that separates data by finding the optimal boundary between classes. It focuses on maximizing the margin and uses the most critical data points—called support vectors—to make accurate predictions. ⸻ 🔑 Keywords: support vector machine, svm explained, machine learning ...
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