Certificate in Support Vector Machines for Data Scientists
-- ViewingNowThe Certificate in Support Vector Machines for Data Scientists is a comprehensive course designed to equip learners with the essential skills needed to excel in the field of data science. This course focuses on Support Vector Machines (SVM), a powerful and versatile supervised learning algorithm that can be used for both classification and regression analysis.
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โข Introduction to Support Vector Machines (SVM)
โข Understanding Linear and Non-Linear SVM
โข Maximal Margin Classifier and SVM Formulation
โข Kernel Trick and Kernel Functions
โข Solving SVM using Quadratic Programming
โข Soft Margin and Multi-Class SVM
โข SVM Implementation using LIBSVM and Scikit-Learn
โข Optimizing SVM Performance and Hyperparameter Tuning
โข Real-World Applications of SVM in Data Science
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- BasicUnderstandingSubject
- ProficiencyEnglish
- ComputerInternetAccess
- BasicComputerSkills
- DedicationCompleteCourse
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- ThreeFourHoursPerWeek
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