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🌸ML classifiers and examples from my graduate class at Stony Brook. 🌸

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🌸 Advanced Machine Learning 🌸

Algorithms:

  • Naive Bayes vs. Logistic Regression

  • Adaboost

  • kNN vs. SVM

  • Expectation Maximization

  • Hidden Markov Chain

Installation

$ pip install -r requirements.txt

License

When making a reference to my work, please use my website.

Creative Commons License

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

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