Conducted independent t-test to compare the quality across Frisbee leagues. Developed a prediction model to predict the outcome of Frisbee games by analyzing rolling statistics from previous matches. Implemented k-means clustering with PCA to identify specific player roles within a Frisbee team

Free football data from StatsBomb

Compared pre- and post-COVID-19 complaint trends. Developed a regularized logistic regression model to predict rent in NYC neighborhoods using 311-hotline data. Created visualizations using geopandas to showcase the most prevalent complaints and analyzed relation between complaints and rent by plotting a 2X2

This repository contains data on Coronavirus Disease 2019 (COVID-19) in New York City (NYC), from the NYC Department of Health and Mental Hygiene.