Machine learning course program and lecture, some images and articles are refereced from other web sites. Gaussina NB, Decision tree, Service Vector Machine, K means, PCA, regression, validation,etc.
Program is written in python 2.7, it one may need anaconda shoulde be installed(including numpy, scipy, pandas, matplotlib, jupyter) ( https://docs.continuum.io/anaconda/install ) or install python 2.7 and then install Numpy, Scipy, Pandas, matplotlib,jupyter manually as follows.
sudo pip install numpy scipy matplotlib
After anaconda installed , one may need to jupyter run, by type in command line and hit the enter.
jupyter notebook
and then upload each ipynb files in this directory.
Yoonsu Park - http://www.patternics.com Distributed under the MIT license. See LICENSE for more information( https://en.wikipedia.org/wiki/MIT_License ). https://github.com/blockchain99/udacity-lecture