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Machine learning classifiers are a powerful tool for determining to which category novel data belongs given some training data. This workshop explores the basics of using the scikit-learn Python library with some toy cancer datasets.
Time and Place
Where: Room 7010, Library Research Commons, SFU Burnaby Campus
I will assume you're familiar with coding in Python.
Software Dependencies
You will need Python 3 and the scikit-learn module. You can follow these installation instructions for your operating system (i.e. Windows, Mac OS X or Linux).
Description
Machine learning classifiers are a powerful tool for determining to which category novel data belongs given some training data. This workshop explores the basics of using the scikit-learn Python library with some toy cancer datasets.
Time and Place
Where: Room 7010, Library Research Commons, SFU Burnaby Campus
When: Tuesday, September 26th, 2017 at 3:00 PM
Registration
REGISTER HERE
Required Preparation
Assumed Knowledge
I will assume you're familiar with coding in Python.
Software Dependencies
You will need Python 3 and the scikit-learn module. You can follow these installation instructions for your operating system (i.e. Windows, Mac OS X or Linux).
Data Download
Please download this: https://github.com/emreerhan/random_forest_workshop/archive/master.zip
Links
Lessons Notes: https://github.com/emreerhan/random_forest_workshop
Etherpad: TBA
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