This blog has been quiet for almost a year now. Mostly because I joined a Marketing Analytics company called Gradient Metrics as an all-round quantitative analyst. Gradient gave me the opportunity to combine my previous marketing experience with my newfound love for data science, and I never looked back.
Together with a couple of friends, we've created our own personal Awesome Mix Vol.1. Instead of being a tape with 13 songs however, we've added roughly 1.500 songs! Now I'm curious as to how our musical taste differs from one another, but also what kind of musical clusters we have created in our playlist.
A tutorial on creating a beautiful map of your own holiday destinations! Created with R, ggmaps and google's location API
A comprehensive summary of predictive modeling with regression techniques. Inspired by a lecture given by Sandjai Bhulai, who is a Professor at the Free University of Amsterdam and co-founder of the postgraduate programme Business Analytics / Data Science
Christmas is almost here, and we've been hearing a ton of christmas carols and chrismas songs. Now my question is, how jolly are these songs actually? This is a nice opportunity to test my Web Scraping & Text Mining skills.
As a Data Science Trainee for the municipality of Rotterdam, I was tasked to find out-of-the-box data sources to measure economic growth within the city. Naturally, I turned towards online estate agents.
In 2016 I let google track my location. Everytime my phone sent an update to google, a new record was created. By adding up records for each longitude and latitude coordinates combination, I was able to recreate the spots where I spent most of my time.