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"Random Forests in scikit-learn: Classifying Cancer Types" by Emre Erhan #170

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brunogrande opened this Issue Jul 20, 2017 · 0 comments

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brunogrande commented Jul 20, 2017

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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