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  1. usac_e_rate usac_e_rate Public

    Universal Service Administrative Company (USAC) E-rate Program Analysis. Tech used: Sodapy, Socrata, Pandas, Numpy, Matplotlib, Seaborn, Plotly Dash.

    Jupyter Notebook

  2. dc_public_transport dc_public_transport Public

    Why DC Metro ridership is declining? Analyzing public transport trends. Various regression models comparison. Tech used: Python Pandas, Numpy, Scipy, Seaborn, Matplotlib.

    Jupyter Notebook 2 2

  3. ml_nlp_media ml_nlp_media Public

    Forked from VanessaVanG/GW-Project3

    Media bias analysis. Building the predictive model of mass media language using NLP (20 million articles). Tech used: MongoDB, Flask, D3.js, Pickle, Scikit-learn, Plotly, Pandas, Numpy.

    Jupyter Notebook

  4. earthquakes earthquakes Public

    Visualizing Geo Data of all Earthquakes from the past 7 days. Tech used: Leaflet.js, HTML, CSS, PHP


  5. mars mars Public

    Flask application with latest Mark data. Tech used: Flask, MongoDB, Splinter, Selenium, Pandas, BeautifulSoup, HTML/CSS, Heroku.


  6. sql_playground sql_playground Public

    SQL playground using Sakila DB. Query building exercise.