Now and then I come across a Python package that has the potential to simplify a task that I do regularly. When this happens, I’m always excited to try it out and, if it’s awesome, share my new…
Once you have successfully built and trained your Deep Learning model, what is the next step that you would take? Make predictions on it, of course. If you have done a good job of training your…
As a data scientist, I daily work with Jupyter Notebook/ Jupyter Lab. One thing that I used to google a lot every time I start a new project is how to create a new Conda environment and add it as…
In the X-Men comics, Professor Charles Xavier is one of the most powerful mutant. He possesses the mental power to read minds and move things. Our brain is a powerful organ, it is the command centre…
Cutting Edge Machine Learning models and techniques have allowed for the creation of nearly any type of content from images to video to sound. These generative techniques allow for never before seen…
Epidemics show us the meaning of black swan events. In the 20th/21st century, only the few most severe epidemics caused the vast majority of deaths.
If you have the struggle of opening and continuously switching between ten thousand BigQuery tabs, you are not alone. As a data professional, working with SQL queries is a daily task, and if you are…
Association and correlation measures are important tools in descriptive statistics and exploratory data analysis. They provide statistical evidence for a functional relationship between variables…
In my first Pendragon Four blog I introduced my multi-agent reinforcement learning (RL) setup for the mobile phone game Fate Grand Order (FGO) I listed a few goals: FGO does not have a player vs…
Discussions around cybersecurity often centre on the big four in the world of malicious attackers. The United States of America, Russia, China & North Korea, discussions can range from massive data…
