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SColson82/README.md

What I'm working on now: You can view my most recent project work at: Exploring Various Machine Learning Classifiers Using the Iris Dataset website.

This began as the introduction tutorial in a class. I've added to it so that it may be used as a reference for classification problems by others who are new to machine learning.

👩🏻‍🔬 Sharon Colson

✉ sharon.colson@gmail.com

🔗https://www.linkedin.com/in/sharon-colson

🤖 Research Computing and Data Facilitator

🌎 Remote, Cookeville, TN, United States

PORTFOLIO PROJECT — Interactive visualization of Earthquake occurences using Leaflet and data collected from the USGS API.

Links to Additional Details in Project Titles

ATL-Foodie — Analysis of restaurant ratings in the Atlanta, GA area using the Yelp Academic Dataset.

  • This was a 2 week group project for the Georgia Tech/Trilogy Data Analysis Bootcamp.
  • Used Python/Flask & HTML/JS/CSS to build the web dashboard.
  • My part in this was deployment through the Heroku application; ETL of the dataset from Yelp zip file to SQLite database; collaborating on the Map and Ratings pages.

Car-ETL — Postgres database of vehicle-for-sale listings web-scraped from Auto.com through API calls.

  • Worked with a group of 3 others to over a 1 week period to create a Postgres database.
  • Started with a customer dataset from Kaggle which included factors important in determining which vehicle a customer might be interested in (IE: family size, income, careertype).
  • Webscraped vehicle listings from Autolist.com and merged these with features listed through US Fuel Economy to create a dataset that could be manipulated using Postgres to determine which customers should receive notifications for specific vehicles.
  • My part in this was collection of the vehicle Data; ETL on the dataset; deployment to the database.

Covid Vaccine Analysis — Analyzed 30 days of vaccine and new case data to determine the current effects that vaccinations were having on new Covid case numbers.

  • This project was completed as part of a group of 3 for the Georgia Tech/Trilogy Data Analysis Bootcamp.
  • Collected and visualized data pertaining to new Covid Cases and Vaccination counts using Matplotlib and Seaborn.
  • My part in this project was collaboration in transforming the data and creating visualizations and creating the README.

Pinned

  1. ATL-Foodie ATL-Foodie Public

    Exploration of the restaurant offerings in Atlanta, GA using the Yelp Academic Dataset.

    Jupyter Notebook 2 2

  2. Earthquake_Visualization Earthquake_Visualization Public

    Explore the Javascript Leaflet library by building an interactive map of earthquakes and fault lines for the US Geological Survey. Check it out at:

    JavaScript 1

  3. bc_namd bc_namd Public

    Simple NAMD form for Open OnDemand

    HTML 2

  4. Detecting_Fraudsters_ML Detecting_Fraudsters_ML Public

    Using R to develop a model to detect a niche of fraudsters.

    R

  5. GCD_Calculator GCD_Calculator Public

    Using C++ this program explores various algorithms for calculating Greatest Common Divisor

    C++

  6. jackatopolis/s-martpredictor jackatopolis/s-martpredictor Public

    Sales prediction tool built with a supervised machine learning model

    HTML 1 2