SVM Parameters 
SVM Parameters
by Harrison Kinsley
Video Lecture 33 of 42
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Views: 778
Date Added: August 11, 2016

Lecture Description

In this concluding Support Vector Machine (SVM) tutorial, we cover one last topic, which is how to separate more than 2 classes using either a One-vs-Rest method or One-vs-One. After this, we cover the parameters for the SVM via Scikit-Learn: as a review of what we've learned so far.

Course Index

Course Description

The objective of this course is to give you a holistic understanding of machine learning, covering theory, application, and inner workings of supervised, unsupervised, and deep learning algorithms.

In this series, we'll be covering linear regression, K Nearest Neighbors, Support Vector Machines (SVM), flat clustering, hierarchical clustering, and neural networks.


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