SVM

“Support Vector Machine” (SVM) is a supervised machine learning algorithm which can be used for both classification or regression challenges. However, it is mostly used in classification problems.

CODE:

1. Apply SVM algorithm to the iris data and got 98% accuracy (iris dataset.ipynb)
2. Apply SVM algorithm to the breast cancer dataset and got 96% accuracy (SVM.ipynb).

ARTICLE:

1. SUPPORT VECTOR MACHINE(SVM): https://medium.com/@aqsa.qadir44/support-vector-machine-d7ccf74d313a
2. Tuning parameters of SVM: Kernel, Regularization, Gamma and Margin: https://medium.com/@aqsa.qadir44/tuning-parameters-of-svm-kernel-regularization-gamma-and-margin-5f2f6639121a