Certificate in Support Vector Machines: Data Science Insights
-- ViewingNowThe Certificate in Support Vector Machines: Data Science Insights is a comprehensive course that focuses on one of the most powerful and flexible machine learning algorithms. This program emphasizes the importance of Support Vector Machines (SVMs) in data science and how they can be applied to solve complex real-world problems.
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⢠Introduction to Support Vector Machines (SVM)
⢠Linear Kernel and Non-linear Kernels in SVM
⢠Maximal Margin Classifier in SVM
⢠Soft-Margin Classifier in SVM
⢠Solving SVM with Quadratic Programming
⢠Kernel Trick and Mercer's Theorem
⢠Multi-class Classification in SVM
⢠SVM Implementation in Python's Scikit-learn Library
⢠Tuning SVM Hyperparameters
⢠Real-world Applications of SVM in Data Science
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