Machine Learning/Datasets: Difference between revisions
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'''Time Series''' | '''Time Series''' | ||
*[http://robjhyndman.com/tsdldata/data/ausgundeaths.dat Gun-related Deaths in Australia] | *[http://robjhyndman.com/tsdldata/data/ausgundeaths.dat Gun-related Deaths in Australia] | ||
**"Deaths from gun-related homicides and suicides and non-gun-related homicides and suicides. Australia: 1915-2004. | **"Deaths from gun-related homicides and suicides and non-gun-related homicides and suicides. Australia: 1915-2004. Source: Neill and Leigh (2007)." | ||
Source: Neill and Leigh (2007)." | |||
'''Clustering''' | '''Clustering''' | ||
Revision as of 23:34, 14 March 2011
This page describes in detail the datasets used for the NBML Course.
Classification
- MNIST Handwritten Digits
- Classify handwritten digits using this dataset, a very popular one with lots of training examples.
- Heart Disease
- Predict whether a person will have heart disease based on a subset of 76 factors.
- Census Income
- Try to predict whether a person has an income greater than or less than 50k
Regression
- Boiling point in the Alps
- The boiling point of water at different barometric pressures.
- Shocking Rats
- How does shocking a rat affect it's ability to complete a maze?
- Ice Cream Sales
- Predict the quantity of ice cream consumed based on some other variables.
- Smoking and Respiratory Function
- How does smoking affect lung capacity?
Time Series
- Gun-related Deaths in Australia
- "Deaths from gun-related homicides and suicides and non-gun-related homicides and suicides. Australia: 1915-2004. Source: Neill and Leigh (2007)."
Clustering