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  1. ML_regressions ML_regressions Public

    Cleaning and interpretation of data. Pre-processed. Creation of regression models (regression trees, random forest, XGBoost MODEL OPTIMIZATION REGRESSOR, other models...). Use of metrics to interprโ€ฆ

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  2. ML_unsupervised ML_unsupervised Public

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  3. NLP_Project NLP_Project Public

    Sentiment Intensity Analysis and other Natural Language Processing procedures applied to texts written by the main politic figures of a small town in Barcelona Area (Catalonia). Find the top-positiโ€ฆ

  4. Text_mining Text_mining Public

    Jupyter Notebook

  5. web_scraping web_scraping Public

    BeautifulSoup and Selenium for web scraping : "quotes.toscrape.com", "bolsamadrid.es" "wikipedia.es Anexo: Reyes_de_Espaรฑa"

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  6. Big-Data Big-Data Public

    Big Data with Python and Spark (PySpark) for data analysis. It includes word count exercises, power plant analysis and soon it will include tweets analysis.

    Jupyter Notebook