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  1. nhl-machine-learning nhl-machine-learning Public

    Forked from romimo-93/Final-Project

    20 years of NHL data was used to determine player position based on machine learning models. Machine learning models were built using the average summary of statistics across multiple features (goa…

    Jupyter Notebook

  2. get-it-done-sd get-it-done-sd Public

    Using historical and current API data pulled from https://data.sandiego.gov/datasets/get-it-done-311/ this dashboard dynamically displays service request count by year and council district, service…

    HTML

  3. d3-data-journalism d3-data-journalism Public

    JavaScript and D3 were used to analyze and visualize 2014 U.S. Census Bureau and the Behavioral Risk Factor Surveillance System. The data set includes data on rates of income, obesity, poverty, etc…

    CSS

  4. web-scrape-craigslist-etl web-scrape-craigslist-etl Public

    Forked from bgalde-dev/etl-project

    UCSD Bootcamp ETL Group Project - In this group project we used python and beautiful soup to web scrape craigslist.org rental listings in San Diego. The goal of the project is to show number of lis…

    Jupyter Notebook

  5. tableau-citibike tableau-citibike Public

    Data found in the Citi Bike Trip History Logs was aggregated to find unexpected phenomena. (Jersey City Data in 2016 and 2017)

    Jupyter Notebook

  6. who-plays-chess who-plays-chess Public

    In this group project, we've utilized Python requests, APIs, and JSON traversals to answer a question: "Who plays chess on chess.com?"

    Jupyter Notebook 3 2