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Part 2: Support Vector Machine, Margin, Support Vectors, Boundary, Hyperplane, Simple Problem in 2D

Linear Regression: Gradient Descent Approach, Learning rate, parameters, Simple and Multiple

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Part 3: Support Vector Machine, Multiclass, One-vs-Rest, One-vs-One, Error-Correcting Output Codes

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Part 6: Support Vector Machine, Soft Margin, Parameter C, Ski, Penalty, Lineraly separable

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