Author Archives: trirage111

Using Machine Learning to Predict Top Tracks: Several classification models are optimized in order to predict which rap songs will break into the top 5 spots on Billboard.

Data Synthesis and Visualization: By combining data from Billboard, Spotify, and Genius, I visualize differences and similarities of rap over time.

Assessing Racial Bias Via MCA/Clustering: Among similar schools, is there a difference in disciplinary action based on the percentage of white students?

Bullying Classification: I train and test multiple machine learning classification models in order to predict how pervasive bullying is at schools on a scale of 1 (daily) to 5 (never).

Data Preparation and Violence Regression: I walk through data exploration/cleaning, train and test multiple machine learning regression models, and draw conclusions on how to effectively predict the number of violent incidents occurring at US public schools.