How to implement SVM (Support Vector Machine) from scratch with Python

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In the 9th lesson of the Machine Learning from Scratch course, we will learn how to implement the SVM (Support Vector Machine) algorithm.

Welcome to the Machine Learning from Scratch course by AssemblyAI.
Thanks to libraries like Scikit-learn we can use most ML algorithms with a couple of lines of code. But knowing how these algorithms work inside is very important. Implementing them hands-on is a great way to achieve this.

And mostly, they are easier than you’d think to implement.

In this course, we will learn how to implement these 10 algorithms.
We will quickly go through how the algorithms work and then implement them in Python using the help of NumPy.

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AssemblyAI

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This was very crispy and straightforward. bravo my guy. Going to attempt my own implementation now (with yours as guidance/inspiration) and hope it doesn't explode in me face.

WassupCarlton

where and when would 1 use svm in the real world, is it just an alternative to other regressors and classifiers ?

sivgucsivanshgupta

so basically is an enhacment of the perceptron algorithm right?

marco

the accuracy im getting is very can you please tell me how to increase the accuracy of the model

sriramshivkumar

still confused why u used w.x-b instead of w.x+b, can anyone help me?

saputrauta

can PHP help to access vector database? Everyone is talking about Python, so just want to know that if PHP can help to implement machine learning project, kindly let me know your suggestion.

BradKoriya

How we can implement SVM for multiclass ?

gauravbargaway

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