This project dives into the importance of Consumer Price Index, CPI, as a factor in distinguishing the trends of the US economy. Through creating predictive machine learning models, we generate critiques for how accurate these predictive models are in order to forecast future CPI data.
Using user behaviors and track features generated by Spotify, a popular music streaming platform, this project combined data science with music to generate song recommendations based on user listening data.
This project analyzed data from NBA player stats and their respective high school performance. Using this data, this project analyzes how often players go to the NBA and specific features that are more likely for players in the NBA.
San Francisco Bay Area
Alameda, CA
