Implementation Of Support Vector Machine
We will cover the steps involved in implementing support vector machines in this lesson.
Among the best-supervised learning classifiers, support vector machines can analyze complex data and minimize the impact of outliers.
In the 1990s, SVM was developed within the computer science community to predict numeric and categorical outcomes. Similar to logistic regression, SVMs are mostly used for categorical prediction today.