In our series of explaining method in 100 lines of code, we tackle random forest this time! We build it from scratch and explore it's functions. Der Beitrag Coding Random Forests in 100 lines of code* erschien zuerst auf STATWORX.

Motivation There are dozens of machine learning algorithms out there. It is impossible to learn all their mechanics, however, many algorithms sprout from the most established algorithms, e.g. ordinary least squares, gradient boosting, support vector machines, tree-based algorithms and neural networks. At STATWORX we discuss algorithms daily to evaluate ...

Motivation There are dozens of machine learning algorithms out there. It is impossible to learn all their mechanics, however, many algorithms sprout from the most established algorithms, e.g. ordinary least squares, gradient boosting, support vector machines, tree-based algorithms and neural networks. At STATWORX we discuss algorithms daily to evaluate ...

Feature Selection Feature Selection is one of the most interesting fields in machine learning in my opinion. It is a boundary point of two different perspectives on machine learning – performance and inference. From a performance point of view, feature selection is typically used to increase the model performance or to ...

Introduction to Xy() Simulation is mostly about answering particular research questions. Whenever the word simulation appears somewhere in a discussion, everyone knows that this means additional effort. At STATWORX we are using simulations as a first step to proof concepts we are developing. Sometimes such a simulation is simple, in ...

Introduction All we do at STATWORX all day long is stealing code from the web. That is why I thought it would only be fair to code a function which does that conveniently. With burglr you have all functions and kickass machine learning models at your fingertips. This would have ...