Many machine learning algorithms' implementation are complicated for mixing algorithm itself with optimization algorithms. In this package, I try to implement some basic, pure machine learning algorithm without optimization.
The following algorithms will be implemented:
Linear Regression with one variable <2012-01-06, Fri>
Linear Regression with multiple variables <2012-06-28, Thu>
Logistic Regression <2012-06-20, Wed>
Regularization for preventing overfitting <2012-06-27, Wed>
Neural Networks
Support Vector Machines <2012-04-11, Wed>
Hierachical clustering, single and complete method <2012-12-10, Mon>
Hierachical clustering, average (UPGMA) method <2014-08-22, Fri>
K-Means algorithm <2011-12-30, Fri>
Principal Component Analysis