I was playing around with ChatGPT to see if it could write Python code to generate realistic recruitment process data for me. Here’s the full conversation as I was truly amazed with the results. I emboldened my prompts and had to ask ChatGPT to continue sometimes as longer responses ...

calmcode.io is an e-learning platform that I really really really recommend to programmers and data scientists: It is free. It involves open source tools. It uses bite-sized tutorial videos. It explains tools clearly. It explains everything calmly. There’s tons of content about computer programming, data science, and personal ...

OpenCV is open-source library with tools and functionalities that support computer vision. It allows your computer to use complex mathematics to detect lines, shapes, colors, text and what not. OpenCV was originally developed by Intel in 2000 and sometime later someone had the bright idea to build a Python module on ...

Amit Ness gathered an impressive list of learning resources for becoming a data scientist. It’s great to see that he shares them publicly on his github so that others may follow along. But beware, this learning guideline covers a multi-year process. Amit’s personal motto seems to be “Becoming ...

Vincent Warmerdam shared this Youtube video which I thoroughly enjoyed watched. It’s about Saul Pwanson, a software engineer whose hobby project got a little out of hand. In 2016, Saul Pwanson designed a plain-text file format for crossword puzzle data, and then spent a couple of months building a micro-data-pipeline, ...

A few months ago, I wrote about the Predictive Power Score (PPS): a handy metric to quickly explore and quantify the relationships in a dataset. As a social scientist, I was taught to use a correlation matrix to describe the relationships in a dataset. Yet, in my opinion, the PPS ...

For a year now, this course on Bayesian statistics has been on my to-do list. So without further ado, I decided to share it with you already. Richard McElreath is an evolutionary ecologist who is famous in the stats community for his work on Bayesian statistics. At the Max Planck ...

Data types are one of those things that you don’t tend to care about until you get an error or some unexpected results. It is also one of the first things you should check once you load a new data into pandas for further analysis. Chris Moffit In this ...

Jonas Kristoffer Lindeløv wrote a great visual explanation of how the most common statistical tests (t-test, ANOVA, ANCOVA, etc) are all linear models in the back-end. Jonas’ original blog uses R programming to visually show how the tests work, what the linear models look like, and how different approaches ...