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@Prosciana

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  1. Recommendation plugin based on word-embedding NLP and CBF

    Python

  2. Display Advertising Challenge. Predict click-through rates on display ads.

    Jupyter Notebook 1

  3. Code for Kaggle competition https://www.kaggle.com/c/bike-sharing-demand

    Jupyter Notebook 1 1

  4. Smart City application using Big Data Analytics over the Open Data of Lyon-France.

    JavaScript 7 2

  5. Real time video classification using OpenCV and MNIST as training set.

    C++ 1

  6. Scalable Search and Web Crawling

    Shell

362 contributions in the last year

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Contribution activity

September 2020

25 contributions in private repositories Sep 15 – Sep 23

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