Machine Learning/Datasets

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*[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. Source: Neill and Leigh (2007)."
 
**"Deaths from gun-related homicides and suicides and non-gun-related homicides and suicides. Australia: 1915-2004. Source: Neill and Leigh (2007)."
 +
*[http://robjhyndman.com/tsdldata/data/immig.dat Immigration Rates]
 +
**"Annual immigration into the United States: thousands. 1820 – 1962. From Kendall & Ord (1990), p.13."
  
 
'''Clustering'''
 
'''Clustering'''

Revision as of 23:35, 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

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)."
  • Immigration Rates
    • "Annual immigration into the United States: thousands. 1820 – 1962. From Kendall & Ord (1990), p.13."

Clustering

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