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Learning and Contributing
Learning and Contributing


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  1. scikit-learn: machine learning in Python

    Python 41.8k 20.2k

  2. Tiny implementation of important algorithms in scikit-learn. Useful when understanding ML algorithms and scikit-learn.

    Jupyter Notebook 11 2

  3. Machine learning online course from Andrew Ng.

    HTML 14 18

  4. Deep learning online course from Andrew Ng.

    Jupyter Notebook 3

  5. LeetCode Solutions in Python, Java and C++

    8 1

  6. simple solution based on Gradient Boost and Random Forest, rank 24/3251 (top 1%) within 60 lines of python code

    Jupyter Notebook 7 6

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Contribution activity

June - August 2020

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