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Achievement: Pull Sharkx2

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Achievement: Pull Sharkx2

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  1. Tableau-Visualization---Citi-Bike-Analytics Tableau-Visualization---Citi-Bike-Analytics Public

    Jupyter Notebook 1

  2. Web-Scraping---Mission-to-Mars-Analysis Web-Scraping---Mission-to-Mars-Analysis Public

    Jupyter Notebook

  3. Latitude-vs-Weather-Data-VIsualization Latitude-vs-Weather-Data-VIsualization Public

    HTML

  4. Library-Circulation-Data-Project Library-Circulation-Data-Project Public

    Jupyter Notebook

  5. diannejardinez/Olympic_Data_machine_learning diannejardinez/Olympic_Data_machine_learning Public

    Used Linear Regression, ARIMA, and Logistic Regression to display the next Tokyo Olympics predictions in medal count and in the type of Olympic medallist in each sport

    Jupyter Notebook 1 2

  6. diannejardinez/Olympic_Data_Project diannejardinez/Olympic_Data_Project Public

    Used a Python Flask-powered RESTful API with SQLAlchemy ORM queries to display visualizations with D3.js, Leaflet.js, Plotly.js, and Chart.js on Olympic dataset from 1896-2016

    Jupyter Notebook 2