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.
As a REST API, Livy provides Spark interaction without any need of a Spark configuration on your client. Once being able to communicate with the API Spark code can be submitted from everywhere.
Besides working hard to provide our clients with cutting-edge Machine Learning solutions, we are also big fans of all things culinary here at STATWORX. But can we apply some of those algorithms to make us better cooks? This blog article explores the unlikely union of Data Science and baking!
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.
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.
Vom 09.-10. Oktober findet die Data University an der Goethe-Uni in Frankfurt statt, präsentiert von STATWORX & BARC.
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.