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!
What the MAPE is FALSELY blamed for, its TRUE weaknesses and BETTER alternatives!
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.
Web Scraping 101 in Python with Requests & BeautifulSoup
Want to obtain a specific dataset from a website which does not have an API? In this post, I explain how to do this by scraping data using Python, how you determine whether it is allowed to scrape a specific page and more.
Shiny Apps skalieren @DataUniversity2019
Vom 09.-10. Oktober präsentieren wir von STATWORX gemeinsam mit BARC die Data University an der Goethe-Uni in Frankfurt. 2 Tage lang werden wir dort unser geballtes Data Science Wissen in praxisorientierten Workshops an die Teilnehmenden weitergeben. In zwei besonders spannenden Workshops von unserem Kollegen David dreht sich am zweiten Schulungstag alles um das R Paket Shiny. Vormittags wird es eine …
Getting started with flexdashboards in R
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.
Bang Bang – How to program with dplyr
Never heard of non-standard evaluation? Then our colleague Markus has the perfect answer for you: Bang Bang! In this blog post, Markus introduces meta-programming when using dplyr.
Monotoniebedingungen in Machine Learning Modellen mit R
Monotoniebedingungen können helfen den Sachverhalt besser durch Modelle darstellen zu lassen. In diesem Beitrag wird erklärt wir man solche Monotoniebedingungen in R umsetzt.
Data Science Bootcamp
Du interessiertst Dich für Data Science und möchtest Deine Daten sinnvoll nutzen? Im Data Science Bootcamp von der STATWORX Data Academy bekommen Einsteiger den perfekten Start in die Praxis. Gemeinsam erarbeiten wir in 5 Tagen die wichtigsten Grundlagen von Data Science, Machine Learning und Programmierung. Du entwickelst R und Python Modelle und arbeitest wie ein echter Data Scientist. Was …
Revisited: Forecasting Last Christmas Search Volume
It is June and nearly half of the year is over, marking the middle between Christmas 2018 and 2019. Last year in autumn, I’ve published a blog post about predicting Wham’s “Last Christmas” search volume using Google Trends data with different types of neural network architectures. Of course, now I want to know how good the predictions were, compared to …
Simulating the bias-variance tradeoff in R
In my last blog post, I have elaborated on the Bagging algorithm and showed its prediction performance via simulation. Here, I want to go into the details on how to simulate the bias and variance of a nonparametric regression fitting method using R. These kinds of questions arise here at STATWORX when developing, for example, new machine learning algorithms or …