During the last months, I’ve been working on a chess roguelike game: the Ouroboros King. I’m trying to do with chess what Slay the Spire did with card games. I’ve finally released the first version of the Ouroboros King, you can play it on itch. All constructive feedback is welcome. This first version contains the… Continue reading The Ouroboros King, prototype release
HS Battlegrounds, optimizing your late game Naga board (post-nerf)
In May 2022 the Naga tribe was introduced to HS Battlegrounds. From the start, the tribe was completely OP with decent early-game units what and crazy late-game scaling. Since then they’ve been nerfed twice, lowering both the initial stats and scaling potential of some minions. In this post I’ll help you build a Naga board… Continue reading HS Battlegrounds, optimizing your late game Naga board (post-nerf)
How I built my first video game
I’ve always wanted to learn how to make video games, but I just had never gotten to it. This August I decided to change that. I had a two-week vacation in a remote and quiet place and used my spare time to build my first game. The final result is a short and unpolished game,… Continue reading How I built my first video game
How to use simulations in data science
Simulation is a very potent tool that is often lacking in many data scientists’ toolkits. In this article, I will teach you how to use simulation in combination with other analytical tools. I will be sharing some educational and professional examples of simulation with Python code. If you are a data scientist (or on the… Continue reading How to use simulations in data science
13 essential tips for learning machine learning and data science
When you start learning, it’s very hard to have a clear direction. You often waste time on uninteresting, useless, or outdated topics. You wander and run in circles. However, once you’ve mastered the topic, it’s easy to look back and see the fastest path from noob to pro. If you only could go back in… Continue reading 13 essential tips for learning machine learning and data science
How to self-learn data science from scratch
When I learned data science I didn’t know where to start, so I wasted many hours learning only tangentially useful stuff. Now, after more than five years as a data science consultant, I know what I would’ve done differently. In this article, I will offer you a roadmap on how self-learn data science with links… Continue reading How to self-learn data science from scratch
How to get a job (in data science)
In this article, I’ll give you a structured approach to getting a data science job. In fact, I’ll be sharing all the techniques that have helped me get offers from startups and management consulting firms, along with examples of my own resume and project portfolio. Additionally, I’ll talk about what I look for when screening… Continue reading How to get a job (in data science)
How to estimate the impact of algorithms
You’ve just finished training a credit risk tree model with a whooping 57 AUC score, and you feel great. And you should. But let’s dig deeper. How much better will this model be than using no model? Or than using the previous model which had an AUC of 48? Have you ever wondered what the… Continue reading How to estimate the impact of algorithms
When is a master’s degree the right way into Data Science?
You are a student finishing their bachelor’s degree and unsure of what to do next. Or perhaps you are a professional considering a change of industry. You may even be a PhD that wants to transition into the private sector. Whatever your origin, what concerns you now is how to accomplish this change. And you… Continue reading When is a master’s degree the right way into Data Science?