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

Bitcoin donations: 1GV7srgR4NJx4vrk7avCmmVQQrqmv87ty6

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