wehub-resource-sync
35 lines
1.2 KiB
Markdown
35 lines
1.2 KiB
Markdown
Sebastian Raschka, 2015
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# Python Machine Learning - Supplementary Datasets
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### iris
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- used in chapters 1, 2, and 3
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- source: [https://archive.ics.uci.edu/ml/datasets/Iris](https://archive.ics.uci.edu/ml/datasets/Iris)
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### wine
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- used in chapters 4 and 5
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- source: [https://archive.ics.uci.edu/ml/datasets/Wine](https://archive.ics.uci.edu/ml/datasets/Wine)
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### wdbc
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- used in chapter 6
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- source: [https://archive.ics.uci.edu/ml/datasets/Breast+Cancer+Wisconsin+(Diagnostic)](https://archive.ics.uci.edu/ml/datasets/Breast+Cancer+Wisconsin+(Diagnostic))
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### movie
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- used in chapters 8 and 9
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- 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.
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- source: [http://ai.stanford.edu/~amaas/data/sentiment/](http://ai.stanford.edu/~amaas/data/sentiment/)
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### housing
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- used in chapter 10
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- source: [https://archive.ics.uci.edu/ml/datasets/Housing](https://archive.ics.uci.edu/ml/datasets/Housing)
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### mnist
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- used in chapters 12 and 13
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- source: [http://yann.lecun.com/exdb/mnist/]
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