Ryuru 
At first, I prepared the whole article using pure Rust with Plotters and Polars, but the result wasn’t the best, and the workflow was difficult. I don’t think anyone should spend so much time on data visualization. So, I created a new version where I use D3.js for visualization but still use Polars for data […]
I know I’m late, but let me talk about Polars! I want to discuss Polars in Rust because it’s really important, it greatly enhances Rust’s capabilities for data science, which is our main focus here. This blog is still pretty new, so I’m writing this a bit late. Nothing else stopped me! Polars is a […]
Numbers can be boring, but they don’t have to be. They’re beautiful when they start to look like something. Details create the big picture, and to build that picture, we need plots. Plots are still essential tools in data science and anything involving data. In this article, I’ve prepared implementations of the three most commonly […]
Rust time again! This time, not so much about data science but about Rust completely. Today, we’ll be diving into the ownership model. This little concept ensures data safety, prevents memory corruption, and avoids bugs related to concurrency, all while delivering top-tier performance. But what exactly is it? That’s still a mystery for many people […]
Data can be called whatever you want,hype, cash, or trash,but it doesn’t change the fact that, in today’s world, data is precious. It might change in the future, but for now, you’ve got to adapt to it. I’m not saying you should add machine learning models to everything or process large datasets for no reason; […]
Okay, we’re on a streak with Rust articles. This is my third Rust article, and now I’ll be giving a practical guide to complement my previous theoretical ETL article. I assume you already know what an ETL pipeline is, or at least have read my previous article on the topic, so I won’t go into […]
In the previous article, I created a simple linear regression model, but I skipped the dataset splitting part. One of the readers pointed out that it’s crucial, and I shouldn’t have skipped it, even for that example. So now, I’m preparing this support article to address that request. Later, I’ll connect this article to the […]
Rust? Yes, Rust. Not even I, the one writing this article, am familiar with the language, if we don’t count this past week. So why am I writing about it with such limited knowledge? Well, first of all, it’s my blog, and I can write whatever I want. Secondly, the Linfa library looks pretty sick! […]
This article is a brief introduction to the Ruby programming language and its philosophy, and why it can be a good option for AI. To be honest, the main reason I wrote this article is to talk about Ruby and its philosophy. But since my blog focuses on AI and data science, I also wanted […]
Welcome to another statistics article, probably the most frustrating category for me to prepare. Why? Because there’s no code, no practice problems… just plain old text. However, today we have a special guest, and it happens to be the favorite of all machine learning models: Correlation. Machine learning models are essentially algorithms designed to predict […]