This repository is currently being developed.
As files for the data sets being used are too large to host on Github, they can be downloaded at the links below.
https://www.unb.ca/cic/datasets/ids-2017.html
https://www.ll.mit.edu/r-d/datasets/2000-darpa-intrusion-detection-scenario-specific-datasets
This started as a research project of investigating whether Robust PCA can be used to improve the performance of neural networks. Currently, it is being developed to become a Python package for further application. Once completed, users will be able to import the package into a python file, and run the commands to enhance their dataset(s). Output will include training, testing, and validation sets along with their corresponding sets for labels.