This project aims to draw conclusions from speed dating data collected at Columbia University and build a model to predict whether two participants will match.

This project began as a web scraping exercise for our Data Science Immersive course which turned into a project in which we use Logistic Regression to predict whether a Data Science job listing in Boston will pay over $90,000.

I recently looked into a dataset which lists all songs that made the Billboard Top 100 list in the year 2000. The data tracks each song from the date it entered up to 76 weeks afterwards (although no songs made it past 65 weeks).