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  1. The "Python Machine Learning (3rd edition)" book code repository

    Jupyter Notebook 1.2k 479

  2. A collection of various deep learning architectures, models, and tips

    Jupyter Notebook 12.5k 3k

  3. Working with molecular structures in pandas DataFrames

    HTML 273 64

  4. A library of extension and helper modules for Python's data analysis and machine learning libraries.

    Python 3k 646

  5. Course material for STAT 479: Machine Learning (FS 2019) taught by Sebastian Raschka at University Wisconsin-Madison

    Jupyter Notebook 622 206

  6. STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2020)

    Jupyter Notebook 384 87

748 contributions in the last year

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Contribution activity

June 2020

Created a pull request in rasbt/mlxtend that received 1 comment

Change default in association rule example from apriori to fpgrowth

Description Minor documentation update in association rule example. Replaces use of apriori by fpgrowth, which is much more efficient.

+156 −154 1 comment
8 contributions in private repositories Jun 6 – Jun 23

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