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!
Shiny enables its users to quickly create a fixed UI with code. Although simple, this can prove to be quite limiting. Applying the principles of reactivity to the UI part of a ShinyApp is a natural progression from reactive coding as we know it already from Shiny’s server side. This blog entry reviews and discusses two of the most convenient tools for doing so.
Data Science beginners often encounter the same question: which programming language should one learn first? The choice usually falls on one of the two major providers, R or Python. With this blog article, we want to help you with the search for the right programming language for you.
What are driving factors behind the gas price? With freely accessible data we are goging to find out if the brand, the location and more have any impact on the price!
In time series context, one of most the commonly used measures is the MAPE. In this blog post, I evaluate critical arguments and weaknesses concerning the MAPE and demonstrate alternative measures.
In this blog article, you will learn you how to set up a dashboard with the flexdashboard package, how to integrate interactive widgets and how to deploy the app on shinyapps.io.