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1. Commits on Aug 17, 2014

   • ENH Repeat figure4_5 using sklearn

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   • RFCT Improve code & documentation

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2. Commits on Aug 16, 2014

   • RFCT Use predict() with 2D inputs on all files

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   • RFCT Use predict on 2d arrays instead of loop

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   • ENH Use sklearn for figure 1

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   • ENH Use sklearn instead of raw numpy for LR

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   • MIN Preprocess Wikipedia data

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   • ENH Write to a file, not stdout

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3. Commits on Aug 15, 2014

   • ENH Build word cloud. More comments

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4. Commits on Aug 14, 2014

   • ENH Use jug to improve on ch10 script

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   • DOC Better structure. Better documentation

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5. Commits on Aug 13, 2014

   • ENH Plot accuracy as function of KNN parameter

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6. Commits on Aug 11, 2014

   • ENH Demonstrate feature prescaling

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7. Commits on Aug 8, 2014

   • ENH Complete image dataset

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8. Commits on Jul 31, 2014

   • ENH Use sklearn for KNN & cross-validation

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9. Commits on Jul 22, 2014

   • MIN Name download script like in other chapters

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10. Commits on Jul 19, 2014

    • MIN Do not output iris dataset

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11. Commits on Jul 12, 2014

    • Adding noise analysis

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    • Renamed mlcomp to 20news

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    • Reworked for 2nd edition

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12. Commits on Jul 10, 2014

    • Fix annoying typo that confused the readers

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    • Merge branch 'master' of https://github.com/luispedro/BuildingMachineLearningSystemsWithPython

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13. Commits on Jul 4, 2014

    • ENH Use function names that match scikit-learn

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    • MIN Use object syntax instead of indexing

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14. Commits on Jul 2, 2014

    • RFCT simplified code

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    • RFCT anchor/link naming; FIX filenames

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    • RFCT autopep

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15. Commits on Jun 23, 2014

    • RFCT py3k compliant

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16. Commits on Jun 14, 2014

    • RFCT Better use of matplotlib

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    • ENH Load Lena image with mahotas.demos.load

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    • BUG Update paths to current location of data

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    • ENH Support Python 3

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    • MIN Make download script executable

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17. Commits on Jan 30, 2014

    • Updated link to latest torrent version

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18. Commits on Jan 6, 2014

    • MIN Better output filenames

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