Creating an SVM from scratch - Practical Machine Learning Tutorial with Python p.25

Welcome to the 25th part of our machine learning tutorial series and the next part in our Support Vector Machine section. In this tutorial, we're going to begin setting up or own SVM from scratch.

Before we dive in, however, I will draw your attention to a few other options for solving this constraint optimization problem:

Also, even more specifically there is libsvm's Python interface, or the libsvm package in general. We are opting to not make use of any of these, as the optimization problem for the Support Vector Machine IS basically the entire SVM problem.

Now, to begin our SVM in Python.

[tonynikolaos]

Pretty Brilliant explanations, both math and coding wise. Thank you for these series of priceless videos! They are more then just informational. You are an exceptional communicator. Cheers!

[michaeldot]

I am a beginner of Python. It is fantastic to find your videos here. They are incredibly helpful and I just wanna thank you before I give up it never happens though:-)

[siddharthkotwal]

Hey man, I really like this series. Your delivery is pretty awesome and relatable; somewhat similar to how I speak to myself in my head while working on a project :)

I had one general question as someone trying to learn CS. What is your approach to learning new mathematical/statistical material like ML? Say I pick up a book or a course, what are the best practices for striking the right balance between theory and practice? I often find it hard to get the applied skills (cos understanding the theory and algos properly saps my energy and then I move to the next algorithm!). Second, how often do you have to come back to these principles or examples? Would be great to have your advice!

[Ahmed.Shaikh]

Oh how I wish I had dual screen monitor. One side Sentdex, other side vscode. Simultaneous coding for the win!

[SalehGoodarzian]

Thank you for this great video. Can I ask how you recorded the screen?

[christoffaloffagus]

Great tutorial series, the math of SVM's is a bit above my head but i have an idea at least, I just have a couple of questions.

Forgive me if this is a dumb question as I am just a beginner but, why "if self.visualization"? won't that always be true? having just been set.

I would also would like to know why the extra comma in np.array in the dictionary as TpBrass0 asks.

[geetanjalisharma]

how to train svm classifier for multi class classification in python

[aryagamas]

Hey great video btw, but how do i implement more than 2 feature set of X

[leandrowitzke]

Hi. I'm doing a project with SVM, I have to classify objects in three different classes, but each object has about 40 attributes. There a way to illustrate this scheme ?
Greetings from Argentina

[mohamedkanu]

How can I talk to you directly please ? I have a challenging SVM task that is based on classifying 4 file types (audio, video, text, images). Thanks for replying

[flovera]

Hey man, long time now.
This video is cute and everything, but I want to ask you how do you do the same thing with a data set that is 'real', DBpedia data sets for example?.
Cheers

[lamyaaelbahi]

Hello, did you ever work on svm model using Cplex Python ?

[chandeepadissanayake]

sentdex, let me ask, do you know C++ or Java?

[sarmadmahar]

Honestly I am unable to understand whole SVM, but your other videos are assume.