yrr4282 / ml

Machine learning algorithms implementations by Faen

Machine learning projects or Kaggle Competitions

This repository is for Machine learning projects or Kaggle competitions.

• Digit Recoganizer (Kaggle)
• Titantic (Kaggel)
• SVD (image compression experiment)
• Neural Network/Back Propagation Java implementation
• Random Forest implementation and human written digits recoganization
• (t-SNE) is a technique for dimensionality reduction that is particularly well suited for the visualization of high-dimensional datasets.
• Implementation of EM (expectation maximization) algorithm for A two-coin-flipping experiment (http://ai.stanford.edu/~chuongdo/papers/em_tutorial.pdf)
• PLSA java implementation to find topics and concepts from weibo. It is based on EM algorithm. A reference is http://blog.jqian.net/post/plsa.html
• Baum-Welch java implementation to train HMM (hidden Markov model) with only observed sequences, a.k.a Baum-Welch is un-supervised learning algorithm.

This tries to find topics/concepts from a list of weibos. t-SNE