Kernel Trick in Support Vector Machine (SVM)
9.2 هزار بار بازدید -
4 سال پیش
-
Support Vector Machines or SVMs
Support Vector Machines or SVMs perform very badly with datasets that are not linearly separable. However, this issue can be overcomed by using The Kernel Trick.
Link to the notebook : https://github.com/bhattbhavesh91/svm...
If you do have any questions with what we covered in this video then feel free to ask in the comment section below & I'll do my best to answer those.
If you enjoy these tutorials & would like to support them then the easiest way is to simply like the video & give it a thumbs up & also it's a huge help to share these videos with anyone who you think would find them useful.
Please consider clicking the SUBSCRIBE button to be notified for future videos & thank you all for watching.
You can find me on:
Blog - http://bhattbhavesh91.github.io
Twitter - Twitter: _bhaveshbhatt
GitHub - https://github.com/bhattbhavesh91
Medium - Medium: bhattbhavesh91
#SVM #Kernel #SupportVectorMachine
Link to the notebook : https://github.com/bhattbhavesh91/svm...
If you do have any questions with what we covered in this video then feel free to ask in the comment section below & I'll do my best to answer those.
If you enjoy these tutorials & would like to support them then the easiest way is to simply like the video & give it a thumbs up & also it's a huge help to share these videos with anyone who you think would find them useful.
Please consider clicking the SUBSCRIBE button to be notified for future videos & thank you all for watching.
You can find me on:
Blog - http://bhattbhavesh91.github.io
Twitter - Twitter: _bhaveshbhatt
GitHub - https://github.com/bhattbhavesh91
Medium - Medium: bhattbhavesh91
#SVM #Kernel #SupportVectorMachine
4 سال پیش
در تاریخ 1399/01/23 منتشر شده
است.
9,214
بـار بازدید شده