공부할만한 좋은 링크

[juimdpp]

Links that might come in handy some time

[juimdpp]

SVM 이론 공부 - 분석할때 꽤 용이할듯?

https://data-flair.training/blogs/svm-support-vector-machine-tutorial/

[rachelg98]

Kernel performance analysis https://stackabuse.com/implementing-svm-and-kernel-svm-with-pythons-scikit-learn

One-class SVM https://medium.com/@jamesstradling/unsupervised-machine-learning-with-one-class-support-vector-machines-129579a49d1d

[rachelg98]

Model evaluation rules https://scikit-learn.org/stable/modules/model_evaluation.html#scoring-parameter

sklearn cross validation scoring https://scikit-learn.org/stable/modules/generated/sklearn.model_selection.cross_val_score.html#sklearn.model_selection.cross_val_score

[rachelg98]

PCA and SVM tutorial using breast cancer dataset https://towardsdatascience.com/visualizing-support-vector-machine-decision-boundary-69e7591dacea