Initially, I built the entire article using pure Rust with Plotters and Polars for data processing. However, the end result wasn’t ideal, and the workflow proved to be cumbersome. Honestly, I don’t think anyone should have to spend so much time on data visualization. So, I decided to take a different approach: I switched to […]
Let’s face it: Few things are more deceptive in machine learning than a model that shows 99% (or even 100%) accuracy. Sure, on the surface, that number looks impressive. But just like a picture-perfect date, something might feel a little off, and often, it is. That sparkling accuracy figure? It could be creating a false […]
Hey, it’s Ruby time! The little brother who’s never been known for data science, that’s exactly why I’m bringing him up today. If something’s not popular, you know I’m writing about it! I’ve spent some time diving into a few of the GitHub gems under the Red Data Tools umbrella, and I’ve got to say, […]
You’ve probably heard of synthetic data, but what exactly is it? In simple terms, synthetic data is artificially generated information that closely mirrors real-world data. It’s like creating a digital version of reality, but without the need for actual human-generated data. Now, why should we care about synthetic data in the context of machine learning […]