In unseren bisherigen Artikeln zu Data Science in Python haben wir uns mit der grundlegenden Syntax, Datenstrukturen, Arrays, der Datenvisualisierung und Manipulation/Selektion auseinander gesetzt. Was jetzt noch für den Einstieg fehlt, ist die Möglichkeit Modelle auf die Daten anzuwenden, um so zum einen Muster in diese zu erkennen und zum anderen Prädiktionen abzuleiten. Die Vielfalt an implementierten Modellen in Python …
Machine Learning (ML) is still an underdog in the field of economics. However, it gets more and more recognition in the recent years. One reason for being an underdog is, that in economics and other social sciences one is not only interested in predicting but also in making causal inference. Thus many "off-the-shelf" ML algorithms are solving a fundamentally different …
In part one of the blog post, the Regularized Greedy Forest (RGF) was introduced as a contender to the more frequently used technique of Gradient Boosting Decision Trees (GBDT). Now it is time to turn words into actions and find out whether it actually is. Among all GBDT implementations, XGBoost is probably the most commonly used implementation in the field …
Macbeth shall never vanquish'd be until Great Birnam Wood to high Dunsinane Hill Shall come against him. (Act 4, Scene 1) In Shakespeare's The Tragedy of Macbeth, the prophecy of Birnam Wood is one of three misleading prophecies foreshadowing the defeat of the protagonist of the same name. While highly unlikely, the event of a nearby forest moving towards his …