Tools for survival analysis

While survival analysis has been present in academia for quite some time, a lot of data scientist today focus more on neuronal networks, decision trees, random forest, grid search, KNN etc. However, the discipline of survival analysis has gained popularity in various applications. This is the case whenever an analyst it not only interested if an event occurs but rather when the event occurs. In modeling credit risk it is of particular interest when a loan default over time and in turn, understanding how the default probabilities change over time. In this context, survival analysis can help answer questions like: […]

Python editor for data science (a pragmatic guide)

There is a fast selection of editors, IDEs and tools out there to develop your Python projects. This blog post will aims at providing a pragmatic hands-on guide for data scientists that transfer from tools like SPSS, STATA, RStudio etc. MS Visual Studio There is a fast selection of editors, IDEs and tools out there to developyour Python projects. This blog post will aims at providing a prgmatic hand-on guide for data scientists that transfer from tools like SPSS, STATA, RStudio etc. https://visualstudio.microsoft.com/de/ Notepad++ This is where the discussion IDE vs. editor comes into play. If you want to keep […]