/ML

Newbie's Adventures In Machine Learning Land

Primary LanguagePythonMIT LicenseMIT

ML (Machine Learning Newbie)

Implementations of basic machine learning algorithms and their applications in data analysis, etc.

Topics

Supervised learning algorithms: Regression, Classification, Decision Tree, etc.

Clustering algorithms: k-means++, hierachical clustering, etc.

Dimensionality reduction algorithms: LPP, FDA, LFDA, PCA, etc.

Applications: Text Classifier, Simple Twitter analysis, Recommendation System, Searching and Ranking, etc.

Other: Adaboost, kNN, NMF, etc.

Author

Duong Nguyen @TokyoTech

Email: nguyen@sg.cs.titech.ac.jp; ntduong268(at)gmail.com