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Machine Learning Basics

27

Jan'17

203.6.7 Soft Margin Classification – Noisy Data and Validation

Soft Margin Classification – Noisy data In previous section, we studied about Kernel – Non Linear Classifier Noisy data What …

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27

Jan'17

203.6.6 Practice : Kernel – Non Linear Classifier

In previous section, we studied about  The Non-Linear Decision Boundary In this session we will practice non linear kernels of …

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27

Jan'17

203.6.5 The Non-Linear Decision Boundary

The Non-Linear Decision Boundary In previous section, we studied about Building SVM model in R In the above examples we …

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27

Jan'17

203.6.4 Building SVM model in R

We discussed the SVM algorithm in our last post. In this post we will try to build a SVM classification …

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27

Jan'17

203.6.3 SVM : The Algorithm

SVM- The large margin classifier In previous section, we studied about Simple Classifier SVM is all about finding the maximum-margin …

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27

Jan'17

203.6.2 Practice : Simple Classifier

In previous section, we studied about Introduction to SVM In this practice session we will cover all the things we …

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