Pinned

1. naive_bayes naive_bayes Public

   Naive Bayes classifier implementation with NumPy and Pandas.

   Python

2. Knapsack Knapsack Public

   0-1 Knapsack problem solution in Java (because Python was too slow). Outputs a proper characteristic vector of included items and a maximum value that managed to fit.

   Java

3. udp-over-tcp udp-over-tcp Public

   Yet another naive implementation of TCP tunneling for UDP-based packet exchange. There actually might exist a reason for doing so, I suppose.

   Java

4. k-means k-means Public

   An implementation of k-means clustering algorithm with some matplotlib visuals attached. Done with no out of the box ML libraries(NumPy and Pandas only). Hello, World, once again!

   Python 1 1

5. PortKnocker PortKnocker Public

   A simulation of UDP port knocking authorization technique. Well-commented and multithreaded. (https://en.wikipedia.org/wiki/Port_knocking)

   Java 1

6. classifiers classifiers Public

   Jupyter notebook with several most popular classifiers and regressors being trained and evaluated on multiple popular datasets. Just an exercise in scikit-learn for the most part.

   Jupyter Notebook