Sebastian Raschka, 2015

Python Machine Learning - Supplementary Datasets

iris

• used in chapters 1, 2, and 3
• source: https://archive.ics.uci.edu/ml/datasets/Iris

wine

• used in chapters 4 and 5
• source: https://archive.ics.uci.edu/ml/datasets/Wine

wdbc

• used in chapter 6
• source: https://archive.ics.uci.edu/ml/datasets/Breast+Cancer+Wisconsin+(Diagnostic)

movie

• used in chapters 8 and 9
• movie dataset converted into a 2-column CSV format: The first column (review) contains the text, and the second column (sentiment) denotes the polarity, where 0=negative and 1=positive. The first 25,000 are the training samples and the remaining 25,000 rows are the test samples from the "Large Movie Review Dataset v1.0," respectively.
• source: http://ai.stanford.edu/~amaas/data/sentiment/

housing

• used in chapter 10
• source: https://archive.ics.uci.edu/ml/datasets/Housing

mnist

• used in chapters 12 and 13
• source: [http://yann.lecun.com/exdb/mnist/]