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base repository: jakevdp/PythonDataScienceHandbook
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head repository: cpearce/PythonDataScienceHandbook
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  • 14 commits
  • 71 files changed
  • 1 contributor

Commits on Jan 2, 2022

  1. Update dependencies to work with scikit 1.0.2

    @cpearce
    cpearce committed Jan 2, 2022
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  2. Update 05.03 Hyperparameters to work with scikit 1.0.2

    @cpearce
    cpearce committed Jan 2, 2022
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  3. Add .venv to .gitignore

    @cpearce
    cpearce committed Jan 2, 2022
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  4. Update colab links to point to cpearce github. 

    The original code no longer works on colab as colab uses a more recent
version of scikit.
    @cpearce
    cpearce committed Jan 2, 2022
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  5. Update 05.04 Feature Engineering to work with scikit 1.0.2

    @cpearce
    cpearce committed Jan 2, 2022
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  6. Fix 05.06 Linear Regression. 

    Ensure data files are available.
    @cpearce
    cpearce committed Jan 2, 2022
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  7. Update 05.07 Support Vector Machines to work.

    @cpearce
    cpearce committed Jan 2, 2022
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  8. Include outputs for 05.06 Linear Regression

    @cpearce
    cpearce committed Jan 2, 2022
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  9. Fix 05.08 Random Forest

    @cpearce
    cpearce committed Jan 2, 2022
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Commits on Jan 3, 2022

  1. Fix 05.09 PCA

    @cpearce
    cpearce committed Jan 3, 2022
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  2. SVM output

    @cpearce
    cpearce committed Jan 3, 2022
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  3. Fix 05.11 K Means clustering

    @cpearce
    cpearce committed Jan 3, 2022
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  4. Fix 05.14 Image Features. 

    The RGB to Grayscale functions no longer work on the grayscale image
format, so had to manually convert these to float [0,1] range.
    @cpearce
    cpearce committed Jan 3, 2022
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  5. Update readme

    @cpearce
    cpearce committed Jan 3, 2022
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