- EDA and feature selection on the nsl-kdd dataset.
- Cross Validation for hyperparameter tuning for kernel SVM and Random FOrest classifiers.
- Tests and plots for the final models.
-
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Intrusion detection using kernel svm and grid search cross validation on the NSL-KDD dataset.
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