blockchain99 / udacity-lecture

machine learning course from udacity lecture

udacity-lecture

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.

Installation and usage

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.

Meta

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