This post introduces new Python and R functionality how to get a quick summary of any model.

I’ve been spending time exploring Ningchuan Xiao’s excellent book, GIS Algorithms. This text offers a comprehensive dive into fundamental geospatial concepts including geometric algorithms, spatial indexing, and spatial analysis. The author thor...

1v1 LOL is a popular browser-based building and shooting game that attracts millions of players worldwide. The game typically runs on official platforms, but players often use 1v1 lol github repositories as another way to access it. These repositories have become valuable resources that help players enjoy the game in ...

One of the most exciting skills to learn in BI tools like Power BI or Tableau is how to create dynamic measures. The idea is that since dashboard space is limited, using dynamic controls—such as allowing users to select which measure to display—keeps the dashboard both compact and ...

BigQuery ML has revolutionised how data scientists build machine learning models in data warehouses. BQML linear regression helps create accurate predictions right where your data lives. You can use SQL to build models that are just as reliable as traditional methods but without the usual complexity. Linear regression is one ...

GLMNet in Python: Generalized Linear Model, within the Techtonique ecosystem (nnetsauce, mlsauce)

Introduction JavaScript stands out as a clear winner in popular markup and scripting languages. If you don’t believe us, here’s the proof, Stack Overflow’s Annual Developer Survey tells us: Over 63% of 90,000+ respondents prefer working with JavaScript. Why is it so? Besides a readable (and HTML-friendly) syntax, flexibility, ...

Gaming’s death scenarios have developed well beyond the simple “Game Over” screen we saw in earlier times. “Death by AI prompts” has transformed how players experience virtual mortality. This new approach creates sophisticated and customized end-game scenarios by combining artificial intelligence with creative storytelling. Players now see unique death ...

AI-powered code generation raises an intriguing question about the differences between artificial neural attention and human thought processes in writing code. Developers take years to become skilled at programming through hands-on experience and intuition. Neural models, however, tackle code generation through mathematical attention mechanisms and pattern recognition. The comparison between ...

In an earlier post, I discussed adding conditional formatting to an Excel chart. One key benefit of using Python in Excel for this—rather than relying on standard Excel charting—is the flexibility it offers. With Python, it’s simpler to adjust the chart when adding new variables or expanding ...