This is a video series on learning data science in 100 days. In this video, I have covered the concepts as well as some basic math behind support vector machine algorithm, - Introduction to SVM - What type of problems can be solved using Support Vector Machine? - SVM Terminologies like Support Vector, Margin, Hyperplane, Margin Maximization - How to generate a hyperplane? What is its mathematical equation? - What is the linearly separable and linearly non-separable problem? How are they solved? - Treatment option available for solving a linearly non-separable problem? - Scenarios, where SVM can be used and not, used

This is a video series on learning data science in 100 days. In this video, I have covered the concepts as well as some basic math behind support vector machine algorithm,

- Introduction to SVM
- What type of problems can be solved using Support Vector Machine?
- SVM Terminologies like Support Vector, Margin, Hyperplane, Margin Maximization
- How to generate a hyperplane? What is its mathematical equation?
- What is the linearly separable and linearly non-separable problem? How are they solved?
- Treatment option available for solving a linearly non-separable problem?
- Scenarios, where SVM can be used and not, used

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