2018 was a wild summer for the rental bike market in Berlin. Many new bike systems pushed into the market in the beginning. By now, two have already left. In between, I counted every rented bike I saw. Which bikes got rented the most?
Using a machine learning algorithm out of the box is problematic when one class in the training set dominates the other. Synthetic Minority Over-sampling Technique (SMOTE) solves this problem. In this tutorial I'll walk you through how SMOTE works and then how the SMOTE function code works.
Is it worth organising your data in a data base if all you are interested in is speed? It depends on what you are doing with the data. This guide teaches you where to expect speed advantages of SQLite and R.
On 24 September Germans will elect a new federal parliament. In this tutorial, I text mine the main parties' election manifestos, derive the latent semantic space and visualise it to see who is closer to whom in German politics.
In just one month the biggest country of Europe, Germany, is going to the polls. In this short tutorial, I text mine the main parties' election manifestos in order to visualise the state of German politics.
There are more than 23,000 Germans studying in the Netherlands. Many of them don’t realise that back in Germany they will be penalised. The reason is foreign grade discrimination. What can be done about it?
I sampled millions of beer ratings from the biggest beer rating sites around in order to answer all the questions beer lovers have. What is the best beer? What makes it so good? Where are the best beers made?
Star Trek is a very rare positive vision of the future. Which movie captures the audience the most with this hopeful message? I learned python to sample all the movie ratings I could find in order to answer this question. If you follow this guide, so can you.