Global Certificate in Data Science: Support Vector Machine Focus

Name: Global Certificate in Data Science: Support Vector Machine Focus
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The Global Certificate in Data Science: Support Vector Machine Focus is a comprehensive course that emphasizes the practical application of Support Vector Machines (SVM) in data science. This certification equips learners with essential skills for career advancement, meeting the growing industry demand for professionals proficient in machine learning algorithms.

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AboutThisCourse

SVM is a powerful and versatile supervised machine learning algorithm used for classification and regression analysis. The course covers the theoretical foundations of SVM, its practical implementation, and real-world applications, making it an ideal choice for both beginners and experienced data scientists. By completing this course, learners will gain a deep understanding of SVM, enabling them to solve complex data science problems and drive data-driven decision-making in their organizations. This certification is an excellent opportunity for professionals seeking to enhance their skillset in machine learning and stand out in the competitive job market.

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CourseDetails

• Introduction to Data Science & Support Vector Machines
• Understanding SVM Principles: Maximal Margin Classifier
• Formulating SVM: Optimal Separating Hyperplanes
• Kernel Trick: Extending SVM to Nonlinearly Separable Data
• Implementing SVM in Python using Scikit-learn Library
• Multi-class SVM: One-vs-One & One-vs-All Strategies
• Tuning SVM Parameters: Kernel, Regularization, & Tolerance
• Evaluating SVM Performance: Accuracy, Precision, Recall & F1 Score
• Real-world Applications of SVM in Data Science

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EntryRequirements

BasicUnderstandingSubject
ProficiencyEnglish
ComputerInternetAccess
BasicComputerSkills
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FastTrack GBP £140

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AcceleratedLearningPath

ThreeFourHoursPerWeek
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StandardMode GBP £90

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TwoThreeHoursPerWeek
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GLOBAL CERTIFICATE IN DATA SCIENCE: SUPPORT VECTOR MACHINE FOCUS

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London School of International Business (LSIB)

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05 May 2025

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