Global Certificate in SVM for Data-Driven Business
-- ViewingNowThe Global Certificate in Support Vector Machines (SVM) for Data-Driven Business is a comprehensive course designed to empower learners with essential skills in machine learning and data analysis. This certification focuses on SVM, a powerful and versatile algorithm used for classification and regression analysis.
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โข Introduction to Support Vector Machines (SVMs): Understanding SVM concepts, advantages, and applications in data-driven business.
โข Linear SVMs: Learning to implement linear SVMs, including primal and dual forms, and optimizing large-scale problems.
โข Non-linear SVMs: Exploring kernel functions, the kernel trick, and applying non-linear SVMs to real-world data.
โข SVM Optimization Techniques: Delving into Lagrange multipliers, slack variables, and box constraints for SVM optimization.
โข Multi-class SVM Classification: Mastering various methods for extending SVMs to multi-class problems.
โข Evaluation Metrics for SVMs: Measuring the performance of SVMs using accuracy, precision, recall, F1 score, and ROC curves.
โข Implementing SVMs in Python: Hands-on experience using popular libraries like Scikit-learn and TensorFlow to build and train SVM models.
โข Real-world SVM Applications: Case studies and practical examples of using SVMs in business analytics, marketing, finance, and other industries.
โข Tuning SVM Hyperparameters: Techniques for selecting and optimizing SVM hyperparameters, such as the regularization parameter, kernel coefficient, and gamma value.
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