GitHub / LJadhav25 / Support-Vector-Machine-Data-Science-

Support Vector Machines (SVM) are supervised learning models used for classification and regression analysis. They are particularly effective in high-dimensional spaces and situations where the number of dimensions exceeds the number of samples. SVMs are also memory efficient as they use a subset of training points called support vectors.

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Topics: matplotlib, pandas, python, skit-learn, svc-model, svm-model

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