SVM from Scratch - Machine Learning Python (Support Vector Machine)

A from scratch implementation of SVM using the CVXOPT package in Python to solve the quadratic programming. Specifically implementation of soft margin SVM.

To understand the theory (which is a bit challenging) I recommend reading the following:
* http://cs229.stanford.edu/notes/cs229-notes3.pdf

* https://www.youtube.com/playli....st?list=PLoROMvodv4r (Lectures 6,7 by Andrew Ng)


People often ask what courses are great for getting into ML/DL and the two I started with is ML and DL specialization both by Andrew Ng. Below you'll find both affiliate and non-affiliate links if you want to check it out. The pricing for you is the same but a small commission goes back to the channel if you buy it through the affiliate link.
ML Course (affiliate): https://bit.ly/3qq20Sx
DL Specialization (affiliate): https://bit.ly/30npNrw
ML Course (no affiliate): https://bit.ly/3t8JqA9
DL Specialization (no affiliate): https://bit.ly/3t8JqA9

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