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What is Support Vector Machine & Decision Trees about?

The document discusses the Support Vector Machine (SVM) algorithm, which aims to create a hyperplane that separates data into classes for future categorization, and outlines its types: Linear SVM for linearly separable data and Non-linear SVM for non-linearly separable data. It also introduces decision trees, explaining their structure, the concept of entropy as a measure of uncertainty, and information gain for selecting decision nodes. Additionally, it covers pruning techniques to prevent overfitting in d

Author

Harshal

Language

EN