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1. Commits on Aug 25, 2017

   • remove ch15 which was mistakenly created here

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   • note about second edition

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2. Commits on Jul 30, 2017

   • pep8 fixes (#61)

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   • Fix warnings in optional script files (#59)

     

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   • use gzip for mnist

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3. Commits on Jul 5, 2017

   • update syntax to keras 2

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   • clarify weight zero effect in perceptron

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4. Commits on Jun 22, 2017

   • note about multiprocessing on win

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5. Commits on Jun 9, 2017

   • neuralnet-mlp standalone code

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6. Commits on Jun 1, 2017

   • cat movieclassifier files into notebook for easier reference

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7. Commits on May 14, 2017

   • use iloc instead of deprecated ix

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8. Commits on Apr 30, 2017

   • change mlxtend.evaluate references to mlxtend.plotting

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9. Commits on Apr 25, 2017

   • reference to numpy.linalg.eigh correctly

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10. Commits on Apr 9, 2017

    • note about keras via conda-forge

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    • use probas in roc_auc_score and add note about memory view

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11. Commits on Mar 11, 2017

    • run chapters with most recent libraries 2017-03-10

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12. Commits on Mar 6, 2017

    • add iris data back

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    • add edgecolor to plot_decision_regions for matplotlib 2.0

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13. Commits on Mar 1, 2017

    • pydotplus

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14. Commits on Jan 23, 2017

    • fix link to running_jupyter_nb

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15. Commits on Jan 20, 2017

    • Merge branch 'master' of https://github.com/rasbt/python-machine-learning-book

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    • jupyter help slides

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16. Commits on Jan 19, 2017

    • jupiter -> jupyter

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17. Commits on Jan 6, 2017

    • clarify somepackage in installation instruction #40

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18. Commits on Jan 4, 2017

    • add missing line to cell 16/17

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19. Commits on Dec 30, 2016

    • fix typo in additional comment section

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20. Commits on Dec 27, 2016

    • clarify cost_ in the docstrings

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21. Commits on Dec 13, 2016

    • new ipynb internal link formatting

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22. Commits on Nov 11, 2016

    • fix shape deprecation warning

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    • disable tight layout

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23. Commits on Nov 10, 2016

    • add os import to optional scripts

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24. Commits on Oct 25, 2016

    • additional figure on softmax

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    • use np.sign in l1

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25. Commits on Oct 24, 2016

    • alt. new tree layout

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26. Commits on Oct 18, 2016

    • use .reshape(1, -1) for single sample in new sklearn to avoid depr warning

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