Articles by R on FeelML

auditor: a guided tour through residuals

September 9, 2019 | R on FeelML

Machine learning is a hot topic nowadays, thus there is no need to convince anyone about its usefulness. ML models are being successfully applied in biology, medicine, finance, and so on. Thanks to modern software, it is easy to train even a complex model that fits the training data and ...
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mlr: Machine Learning in R – basics

August 22, 2019 | R on FeelML

How to train and tune machine learning algorithms in a unified way? With mlr R package 😄 I am currently keen on automated machine learning, especially hyperparameter optimization. Therefore, recently I mainly focus on frameworks for training models. In this post, I will show how to train ML algorithms and tune ... [Read more...]

mlr: Machine Learning in R – basics

August 22, 2019 | R on FeelML

How to train and tune machine learning algorithms in a unified way? With mlr R package 😄 I am currently keen on automated machine learning, especially hyperparameter optimization. Therefore, recently I mainly explore frameworks for unified model training. In this post, I will show how to train ML algorithms and tune ... [Read more...]

R + binder = interactive Jupyter notebooks in the cloud

June 9, 2019 | R on FeelML

Have you ever found a GitHub repository with an interesting R package? Probably yes. How cool would it be to try it out without having to deal with installation and dependencies? Fortunately, it is possible thanks to the BinderHub - the server technology that turns computational material (e.g. Jupyter ...
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