It is important to understand the different machine learning algorithm. We have already discussed several machine learning algorithms (if you want to know about machine learning algorithms, please
We will discuss Support Vector Machine
Support Vector Machine is one of the best classification algorithm where the datasets are represented as points. It is a supervised learning algorithm where machine learning algorithm is designed to construct the hyperplane which is expected to divide the dataset into different categories. The construction of the hyperplane is based on the principle of providing maximum margin from the different categories. Overfitting of data and better accuracy is achieved by applying Support Vector Machine in machine learning classification algorithm.
If you are interested in how to apply Support Vector Machine algorithm and the mathematical intuition behind it, you can express your interest in joining the data science boot camp for free by email to smartsubu2020@gmail.com.
