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.

Files

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

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