Model Regularization – The Bayesian Way

Thomas Alcock Blog, Data Science Leave a Comment

Are you confused by Bayesian statistics? If you understand Ridge regression, one of the most common Bayesian models is within your reach! This post gives a brief intro to Bayesian thinking and shows you how just how similar Ridge regression is to Bayesian linear regression by walking you through the math and exploring how coefficient estimates from both models compare.

Airflow for Data Scientists

Manuel Tilgner Blog, Data Science

As data scientists, getting our hands on the data we need is often the most challenging part of a project. In practice, we tend to make life hard on ourselves because we don’t use the best tools for the job. Well no longer! Read on to learn how can you can harness Airflow to orchestrate your own ETL processes like a pro!

dash-app-title

How To Build A Dashboard In Python – Plotly Dash Step-by-Step Tutorial

Alexander Blaufuss Blog, Data Science

This blog is a hands-on experience in Dash, presenting core components, how to display figures with callbacks, supplying you with a working web application to play with, and the resources to build your own. Dash is a powerful tool for Python developers. Developed by the team behind Plotly, Dash is an open-source framework built on top of Flask, Plotly.js, and React.js.

Insights From Our Latest Internal Hackathon

Marlon Schumacher Blog, Data Science

A few weeks ago, several of our colleagues here at STATWORX participated in an exciting time series competition, hosted by a large german-based company.
This was the opportunity for us to organize an internal hackathon in our office in Frankfurt. In this blog article, Marlon will give you an insight into how we plan and execute such hackathons at STATWORX.