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@ML-Challenge

Machine Learning Challenge

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  1. week1-python week1-python Public

    Learn the basics of Python 3 programming

    Jupyter Notebook 14 39

  2. git-book git-book Public

    Sync documentation with GitBook

    5 3

  3. week2-data-analysis week2-data-analysis Public

    Learn the basics of NumPy, Pandas and Matplotlib

    Python 5 7

  4. week3-supervised-learning week3-supervised-learning Public

    Learn the basics of Supervised Learning

    Jupyter Notebook 4 7

  5. week4-unsupervised-learning week4-unsupervised-learning Public

    Learn the basics of Unsupervised Learning

    Jupyter Notebook 4 6

  6. week5-preprocessing-and-tunning week5-preprocessing-and-tunning Public

    Learn how to prepare the data for machine learning algorithms and how to fine tune the hyper-parameters of a model

    Jupyter Notebook 3 4

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