Python Machine learning with SKLearn Tutorial for Investing - Intro

Intro to a practical example of Machine Learning with the Python programming language and the Scikit-learn, or sklearn, module. We're covering an example with investing, where we use machine learning to discern fundamental characteristics of companies that perform well over a long term period. Windows (and 64 bit): Scikit-learn Installers: https://pypi.python.org/pypi/scikit-learn/0.15.2#downloads NumPy Installer: http://www.lfd.uci.edu/~gohlke/pythonlibs/#numpy SciPy Installer: http://www.lfd.uci.edu/~gohlke/pythonlibs/#scipy Others: Scikit-learn .whl files for pip install: https://pypi.python.org/pypi/scikit-learn/0.15.2#downloads NumPy - git clone http://github.com/numpy/numpy.git numpy SciPy - git clone http://github.com/numpy/numpy.git numpy Playlist: https://www.youtube.com/watch?v=URTZ2jKCgBc&list=PLQVvvaa0QuDd0flgGphKCej-9jp-QdzZ3&index=1 sample code: http://pythonprogramming.net http://seaofbtc.com http://sentdex.com http://hkinsley.com https://twitter.com/sentdex Bitcoin donations: 1GV7srgR4NJx4vrk7avCmmVQQrqmv87ty6