A short overview of the functionalities of the R package gganimate: Learn how to turn your static ggplots in beautiful animations showcasing your data.
In this blog post, Stephan explains how to translate a simple R script, which transforms tables from wide to long format into a REST API with the R package Plumber and how to run it locally or with Docker.
Benchmarking your code is one thing – another thing is to keep and use the gained knowledge for future projects. In this blog, Jakob presents his collection of benchmarks and creates an easy to use a setup for new ones.
Training random forests on time series is one thing, but tuning them? It’s not like you can just apply cross validation and be done with it. Or can you? This post forms part two our mini-series “Time Series Forecasting with Random Forest”. Find out how you can tune the hyperparameters of the random forest algorithm when dealing with time series data. The answers might surprise you!
How can you adjust your prices to meet your sales quota better? By combining sales forecasts and price elasticity estimations, you can make recommendations to increase the profit. In this blog post, Marlon will show you how to combine both methods.
rBokeh is an interactive plotting library. Since it functions lack some arguments compared to its Python counterpart, plots are sometimes difficult to customize. I will show how to overcome those issues and drill out the plot objects.
Cross-validation is a widely used technique to assess the generalization performance of a machine learning model. In this blog post I will introduce the basics of cross-validation, provide guidelines to tweak its parameters, and illustrate how to build it from scratch in an efficient way.
This blog post looks at how we can improve predictive accuracy by combining forecasts from different models.
Time flies by and we are more people now here at STATWROX. But, did we change our behavior in using emojis or are we still the same? I am revisiting my analysis and will have a look!