Python Machine learning with SKLearn Tutorial for Investing - Intro

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Published on ● Video Link: https://www.youtube.com/watch?v=URTZ2jKCgBc



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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

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Tags:
Scikit-learn
Machine Learning (Software Genre)
Python (Programming Language)
Tutorial (Media Genre)
svm
support vector machine
investing
Market
Stock
Trading