Skip to content
This repository has been archived by the owner. It is now read-only.
ML classifiers and examples from my graduate class at Stony Brook.
Python
Branch: master
Clone or download

Latest commit

Fetching latest commit…
Cannot retrieve the latest commit at this time.

Files

Permalink
Type Name Latest commit message Commit time
Failed to load latest commit information.
.github
adaboost
expectation_maximization
hidden_markov_model
homeworks
k-NN
naive_bayes_vs_logistic_regression
.gitignore
README.md
requirements.txt

README.md

Advanced Machine Learning - Stony Brook Graduate Classs

Algorithms:

  • Naive Bayes vs. Logistic Regression

  • Adaboost

  • kNN vs. SVM

  • Expectation Maximization

  • Hidden Markov Chain

Installation

Install dependencies in a virtual environment:

virtualenv venv
source venv/bin/activate
pip install -r requirements.txt

License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License. When making a reference to my work, please use my website.

You can’t perform that action at this time.