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Support Vector Machines

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This introductory course explains support vector machines, including how kernel functions transform nonlinear data, their advantages and limitations, applications, and a practical Python demonstration.

Syllabus

Introduction.
Agenda.
Introduction to Machine Learning.
Introduction to Support Vector Machines.
Understanding Kernel functions.
Advantages and Disadvantages of SVMs.
Popular Applications of SVMs.
Practical Demonstration in Python.
Summary.

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