Fall 2007

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Data

Datasets to be used in the course are available for download here.

• Class1.xls (example from class week 1)
• Charles.xls (see assignments 1, 4, and 7)
• Charles_part.xls (example from class week 1)
• Tayko.xls (see assignments 2 and 3)
  • Tayko_part.xls (example from class weeks 4 and 6)
  • Tayko_sub.xls (subset selection output)
• Tayko_allpart.xls (example from class weeks 4-6)
  • Tayko_allsol.xls (in class week 6)
• Charity.xls (example from class weeks 2 and 3)
  • Charity_sol1.xls - see class 4 exercise
  • Charity_age.xls - see class 4 exercise
  • Charity_log.xls - see class 4 exercise
  • Charity_sol2.xls - see class 6 exercise
• table5_8.xls (chi-squared example from chapter 5, p156)
• German.xls (see assignments 4 and 6)
• Donor.xls (example from class week 7)
• FoodMart.xls (see assignment 8)
• Pizza.xls (example from class week 8)
• Charles_associations.xls (example from class week 8)
• Class17.xls (example from class week 9)
• IMRB.xls (see assignment 9)
• Churn.xls (example from class week 9)
• Competition.xls (last class)
• Comptest.xls (results)
• Project 1 datasets:
  1. Adult incomes - classification task - no longer available since 3 groups have already picked this dataset
  2. Caravan (travel trailer) insurance - classification task
  3. Catalog responders - classification task - no longer available since 3 groups have already picked this dataset
  4. Census data - clustering task
  5. Clothing data - classification task - no longer available since 3 groups have already picked this dataset
  6. Nursery recommendations - prediction task
  7. Spam e-mail - classification task - no longer available since 3 groups have already picked this dataset
  8. Your own data - must have at least 4000 observations and at least 20 variables
• Project 2 links to possible resources:
  • www.twocrows.com
  • www.data-miners.com
  • www.thearling.com
  • www.kdnuggets.com
  • Stanford Computer Science info on neural networks
  • PAControl.com info on neural networks

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