Kernel Trick in Support Vector Machine (SVM) | explained with visualization

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#svm #kerneltrick #SupportVectorMachine
In this video I have explained Support vector machine with Kernel trick. This goes deep into maths behind SVM... those who are familiar with rbf kernal will like this
check out my courses in udemy

Deep Leaning foundation : Linear regression and statistics :--

Python for data science :--

For linear classification SVM work very well but with help of Kernel trick we can do non linear classification very easily in this video I have explained SVM kernel trick with polynomial features. Hope you will like it. Let me know in case of any difficulty.

This video is helpful if you are looking for
SVM
Kernel trick
support vector machine

Link for the github--
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Brilliant explanation...I'd watched many other videos and not grasped it until this one!!!
As an aside, I noticed at the beginning you said "I will explain you". I often hear that phrase from Indian speakers! While understandable to a native English speaker the phrase should be "I will explain to you..." ;-)

martinh
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A sincere thanks. No words, just awe.

abhinav
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Very good illustration...pls provide more contents on other algorithms

anilpillai
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Dear sir, what are the hyper parameters and how to select the values of hyper parameters? Thanks and regards

jayasimhayenumaladoddi
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Can you please share the link. I do not see it in the description. Thanks !

slkslk
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sir just completed my chart coding, even made xkcd charts.
please tell sir can we also make these
if yes then please tell how. it would be helpful in my college project which would be something different . Thanks

manishgarg