Custom themes in ggplot2
In the last post of this series of the STATWORX Blog, we explored ggplot2’s themes, which control the display of all non-data components of a plot. Ggplot comes with several...continue reading.
In the last post of this series of the STATWORX Blog, we explored ggplot2’s themes, which control the display of all non-data components of a plot. Ggplot comes with several...continue reading.
Daten-Visualisierung und -Verständnis sind wichtige Faktoren bei der Durchführung eines Data Science Projekts. Eine visuelle Exploration der Daten unterstützt den Data Scientist beim Verständnis der Daten und liefert häufig wichtige...continue reading.
Nothing is more frustrating than a long piece of code with no standard way of naming elements, presenting code or organizing files. It’s not only unreadable but more importantly not...continue reading.
Today we’re releasing Datazar’s desktop application for Mac. This is the debut for the desktop app and we’re thrilled to finally get it in the hands of everyone. The program...continue reading.
R and Python scripts you upload or create on Datazar are now executable.R files with an .r or .rscript and Python files with .pyextensions will be active for running. You can now analyze...continue reading.
Everybody talks about them, many people know how to use them, few people understand them: Long Short-Term Memory Neural Networks (LSTM). At STATWORX, with the beginning of the hype around...continue reading.
Google AutoML Vision is a state-of-the-art cloud service from Google that is able to build deep learning models for image recognition completely fully automated and from scratch. In this post,...continue reading.
A while back, I started to create an R package that would help me and my collegues at STATWORX with our daily work. After writing the DESCRIPTION file, I did...continue reading.
Since a couple of months, I am working for STATWORX as a marketing manager (and I love it). My colleagues asked me many times, if it is possible to do...continue reading.
In unseren bisherigen Artikeln zu Data Science in Python haben wir uns mit der grundlegenden Syntax, Datenstrukturen, Arrays, der Datenvisualisierung und Manipulation/Selektion auseinander gesetzt. Was jetzt noch für den Einstieg...continue reading.
This final course caps the series off with applications. The first half of the course covers two major areas of AI: natural language processing (NLP) and computer vision (CV). In...continue reading.
For More posts on Bayesian models, Bayesian Nonparametrics, and causal inference follow me on twitter @stablemarkets. My advisor and his collaborator are teaching a short course on Bayesian Nonparametric Methods...continue reading.
Feature Selection Feature Selection is one of the most interesting fields in machine learning in my opinion. It is a boundary point of two different perspectives on machine learning –...continue reading.
The team at Packt will internally turn the video course Unpacking NumPy and Pandas into a book. This means there will be yet another format for people to learn from...continue reading.
Machine Learning (ML) is still an underdog in the field of economics. However, it gets more and more recognition in the recent years. One reason for being an underdog is,...continue reading.
A few hundred meters from our office, there is a little lunch place. It is part of a small chain that specializes in assemble-yourself, ready-to-eat salads. When we moved into...continue reading.
CSV (comma-separated value) files are a common file format for transferring and storing data. The ability to read, manipulate, and write data to and from CSV files using Python is...continue reading.
In the first part of this blog post, we talked about what a DAG is, how to apply this mathematical concept in project planning and programming and why we at...continue reading.
In this course I cover statistics and machine learning topics. The course assumes little knowledge about what statistics or machine learning involves. I touch lightly on the theory of statistics...continue reading.
We’re finally here. Datazar Paper is the most exciting tool we’ve created to date. Up until now, I’d like to believe we’ve only made par with the status quo in...continue reading.