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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

   JavaScript

5. mars mars Public

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

   CSS

6. sql_playground sql_playground Public

   SQL playground using Sakila DB. Query building exercise.