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Building Decision Trees - Entropy, Information Gain & Gini Impurity

The Nerdy Dev
I am a Full Stack Developer, sometimes freelance also. I love to teach.
・1 min read

In this video, we are going to learn about the Support Vector Classifier which is used to separate classes of points which are not perfectly separable.

For this classifier, we use the concept of Soft Margin and we give the flexibility for some of the points to lie on the wrong side of the margin or on the wrong side of the hyperplane. We will also understand the objective function for Support Vector Classifier. The code for the video(if any) can be found on GitHub.

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