PyCon 2014 Talk - Linear Regression Example
This is the linear regression example used in my 'How to get started with Machine Learning' PyCon 2014 talk.
The full pythonb script is provided in lr_brain_body.py. The ipython notebook provides example code snippets and shows how this example was developed.
All png files are illustration outputs used in the presentation.
Dataset: brainhead.dat http://www.stat.ufl.edu/~winner/data/brainhead.dat
Source: R.J. Gladstone (1905). "A Study of the Relations of the Brain to to the Size of the Head", Biometrika, Vol. 4, pp105-123
Description: Brain weight (grams) and head size (cubic cm) for 237 adults classified by gender and age group.
Variables/Columns Gender 8 /* 1=Male, 2=Female / Age Range 16 / 1=20-46, 2=46+ */ Head size (cm^3) 21-24 - converted to inches cubed Brain weight (grams) 29-32 - converted to pounds
First Draft (not used in presentation)
Built initial linear regression with code taken straight from sci-kit learn.
- Code source: Jaques Grobler
- License: BSD 3 clause
- Code was replaced by the above dataset and reworked