Advanced Machine Learning

This folder contain many algorithms that I wrote for the graduate Machine Learning class at Stony Brook University.

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Algorithms:

• Naive Bayes vs. Logistic Regression

• Adaboost

• kNN vs. SVM

• Expectation Maximization

• Hidden Markov Chain

  
  

It also contains the theory from mt homework. For the final project about classifying complex networks, please refer to the specific repository.

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Installation$ pip install -r requirements.txt

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License

When making a reference to my work, please use my twitter handle b_t_3 or my website.

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License