Scikit Learn Machine Learning Tutorial for investing with Python p. 3

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In this part of our machine learning tutorial with scikit-learn and Python, we're covering how to acquire, label and organize our data, as well as figure out which machine learning algorithm to use.

Playlist link: https://www.youtube.com/watch?v=URTZ2jKCgBc&list=PLQVvvaa0QuDd0flgGphKCej-9jp-QdzZ3&index=3

Flowchart for figuring out which machine learning algorithm to use: http://scikit-learn.org/stable/tutorial/machine_learning_map/index.html

To get company data, you can use sec.gov, finance.yahoo.com, or many other locations.

To alleviate the need for people to suck up tons of bandwidth, I have compiled and zipped up a sample dataset that is the straight HTML data as if you had parsed Yahoo Finance for over a decade.

The location: http://pythonprogramming.net/downloads/intraQuarter.zip

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
stocks
Trading
Market
Stock
Forex
Analysis
Finance