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.
PORTFOLIO PROJECT โ Interactive visualization of Earthquake occurences using Leaflet and data collected from the USGS API.
Links to Additional Details in Project Titles
ATL-Foodie โ 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 โ 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 โ 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.