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RoboticsClubIITJ / ML-DL-implementation

An implementation of ML and DL algorithms from scratch in python using nothing but NumPy and Matplotlib.
BSD 3-Clause "New" or "Revised" License
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Implement Support Vector Machine as a Classifier and Regressor #5

Open TarunTomar122 opened 3 years ago

TarunTomar122 commented 3 years ago

Related Resource one can follow :-

https://towardsdatascience.com/svm-implementation-from-scratch-python-2db2fc52e5c2 https://www.python-engineer.com/courses/mlfromscratch/07_svm/ https://pythonprogramming.net/svm-in-python-machine-learning-tutorial/ https://fordcombs.medium.com/svm-from-scratch-step-by-step-in-python-f1e2d5b9c5be http://madhugnadig.com/articles/machine-learning/2017/07/29/implementing-svm-support-vector-machines-from-scratch-in-python.html

samarth-1729 commented 3 years ago

I would like to this!

TarunTomar122 commented 3 years ago

@samarth-1729 alright Samarth take your time this issue is yours. We will add hacktoberfest tag also. Cheers!

samarth-1729 commented 3 years ago

Thanks!

rohansingh9001 commented 3 years ago

@samarth-1729 Any updates on this?

samarth-1729 commented 3 years ago

I'll start today

spursbyte commented 3 years ago

I can help with this.Can i get the permission?

rohansingh9001 commented 3 years ago

@spursbyte It has already been taken and a PR is submitted.

kwanit1142 commented 3 years ago

This Issue is now again open for solution.

iamayushanand commented 2 years ago

I would like to contribute to this.

Note: The resource link attached in the statement of this issue has an incorrect implementation of the SVM. Merely changing the input features from X to [X 1] biases the separating hyperplane . (Refer to last paragraph on page 2 here mit 6.867) .

kwanit1142 commented 2 years ago

@iamayushanand and @devyani-code, yaa sure u both can contribute to this problem statement.

Regarding the references scenario, you guys can also seek the better ones if necessary :-)

One Advice :- Keep the optionality for the User to pick and choose between variants of SVM Kernels