Comparing various algorithms for recommendation systems and applying them to create a beer recommender.

Building a recommendation website that picks songs toplay based on your listen preference and skill level.

Using resilient distributed datasets and Apache Sparks machine learning library to generate song recommendations using an alternating least squares model.

Using Apache Sparks machine learning library to predict the year of song release using a linear regression model.

Analyzing music listening profiles from music-streaming services and finding 2 different kinds of listeners.

Perfoming text analytics and regression on playlist titles to see what makes a good playlist title.

Generating playable guitar music with feeding recurrent neural networks Metallica tabs scraped from ultimate-guitar.com.

Using recurrent neural networks to auto-generate country music songs by training on lyrics scraped from country-lyrics.com.

Project proposal to predict the number of traffic injuries at a given intersection of NYC and use the results to suggest the most cost-effective improvements to reduce injuries, while maintaining efficient traffic flow.

Do the number of complaints due to lead in the NYC 311 complaints correlate to the concentration of lead in the NYC air?

Looking to see whether links between the categories of the webpages in wikipedia will show the connections between various categories that reveal origins of fields that may be unintuitive.