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Learning and Contributing
Learning and Contributing
  • Tencent
  • Shenzhen, China


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  1. scikit-learn: machine learning in Python

    Python 51.5k 23.4k

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

    Jupyter Notebook 21 3

  3. Machine learning online course from Andrew Ng.

    HTML 64 55

  4. Deep learning online course from Andrew Ng.

    Jupyter Notebook 6 9

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

    22 5

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

    Jupyter Notebook 11 10

478 contributions in the last year

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Activity overview

Contribution activity

September 2022

Created 17 commits in 1 repository
14 contributions in private repositories Sep 3 – Sep 25

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