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1. Pewlett-Hackard-Analysis Pewlett-Hackard-Analysis Public

   Company records were parsed with SQL through PgAdmin to determine retirement eligible employees, potential retirement numbers per department and titles.

   PLpgSQL

2. PyBer_Analysis PyBer_Analysis Public

   Analysis of PyBer ride sharing data for multiple city types (rural, suburban, and urban) was done to determine relationships between location, cost, number of drivers, and amount of rides.

   Jupyter Notebook

3. UFOs UFOs Public

   Analysis of UFO sightings was done to aid in production of a website where sighting could be filtered based on date, city, state, country, and shape.

   JavaScript

4. World_Weather_Analysis World_Weather_Analysis Public

   Analysis of 2000 randomly generated coordinate pairs for city location and weather conditions for development of user input responsive travel plans.

   Jupyter Notebook

5. Cryptocurrencies Cryptocurrencies Public

   Unsupervised machine learning was used to establish a classification system for actively trading cryptocurrencies for potential investment prospects.

   Jupyter Notebook

6. bikesharing bikesharing Public

   In depth analysis of a company's bikesharing data from summer in New York City was done in attempt to understand trends in rides and demographics.

   Jupyter Notebook