<feed xmlns="http://www.w3.org/2005/Atom"> <id>https://pacifis.org/</id><title>Pacifis</title><subtitle>Texts in computer science.</subtitle> <updated>2026-07-18T22:29:53-03:00</updated> <author> <name>Pacifis</name> <uri>https://pacifis.org/</uri> </author><link rel="self" type="application/atom+xml" href="https://pacifis.org/pt-BR/feed.xml"/><link rel="alternate" type="text/html" hreflang="en" href="https://pacifis.org/"/> <generator uri="https://jekyllrb.com/" version="4.4.1">Jekyll</generator> <rights> © 2026 Pacifis </rights> <icon>/assets/img/favicons/favicon.ico</icon> <logo>/assets/img/favicons/favicon-96x96.png</logo> <entry><title>Set up a SvelteKit website in GitHub Pages</title><link href="https://pacifis.org/pt-BR/posts/set-up-a-sveltekit-website-in-github-pages/" rel="alternate" type="text/html" title="Set up a SvelteKit website in GitHub Pages" /><published>2023-05-08T12:13:00-03:00</published> <updated>2024-03-10T11:48:35-03:00</updated> <id>https://pacifis.org/posts/set-up-a-sveltekit-website-in-github-pages/</id> <content type="text/html" src="https://pacifis.org/posts/set-up-a-sveltekit-website-in-github-pages/" /> <author> <name>carlosgdcj</name> </author> <category term="Guide" /> <category term="Svelte" /> <summary>In this article, I’ll show you how to use GitHub Pages to host your SvelteKit website. First of all, there are some things to consider when using GitHub Pages: It can only host static websites It’s only available for public repositories If none of these are a deal breaker, you’re good to go. There are some other limitations but those are mostly related to the website’s content and usag...</summary> </entry> <entry><title>RTG #4: Doom vs Animal Crossing</title><link href="https://pacifis.org/pt-BR/posts/rtg-4-doom-vs-animal-crossing/" rel="alternate" type="text/html" title="RTG #4: Doom vs Animal Crossing" /><published>2023-04-19T15:51:00-03:00</published> <updated>2026-07-18T22:21:40-03:00</updated> <id>https://pacifis.org/posts/rtg-4-doom-vs-animal-crossing/</id> <content type="text/html" src="https://pacifis.org/posts/rtg-4-doom-vs-animal-crossing/" /> <author> <name>carlosgdcj</name> </author> <category term="Kaggle" /> <category term="RTG" /> <summary>In this article we’ll work with the Doom vs Animal Crossing dataset. A computer vision challenge to classify images from two different subreddits. The data The data was taken from Reddit’s /r/Doom and /r/AnimalCrossing and the images are the best posts from those subreddits in the month of July 2020. There are 757 Animal Crossing (AC) images and 840 Doom images. Initially, I expected some kin...</summary> </entry> <entry><title>RTG #3: EDA on Yu-Gi-Oh!</title><link href="https://pacifis.org/pt-BR/posts/rtg-3-eda-on-yu-gi-oh/" rel="alternate" type="text/html" title="RTG #3: EDA on Yu-Gi-Oh!" /><published>2023-03-21T17:31:00-03:00</published> <updated>2023-09-13T19:37:35-03:00</updated> <id>https://pacifis.org/posts/rtg-3-eda-on-yu-gi-oh/</id> <content type="text/html" src="https://pacifis.org/posts/rtg-3-eda-on-yu-gi-oh/" /> <author> <name>carlosgdcj</name> </author> <category term="Kaggle" /> <category term="RTG" /> <summary>This time we’ll use the Yu-Gi-Oh! Cards dataset to derive some insight on one of the most popular trading card games of all time. The setting Yu-Gi-Oh is my favorite card game. In fact, this website is named after one of its cards: Pacifis, the Phantasm City This card is obnoxiously annoying, but I digress. Today’s RTG aims to answer some questions about how the game has evolved throughout ...</summary> </entry> <entry><title>RTG #2: Titanic</title><link href="https://pacifis.org/pt-BR/posts/rtg-2-titanic/" rel="alternate" type="text/html" title="RTG #2: Titanic" /><published>2023-02-09T20:20:00-03:00</published> <updated>2023-09-13T19:37:08-03:00</updated> <id>https://pacifis.org/posts/rtg-2-titanic/</id> <content type="text/html" src="https://pacifis.org/posts/rtg-2-titanic/" /> <author> <name>carlosgdcj</name> </author> <category term="Kaggle" /> <category term="RTG" /> <summary>In this article, we’ll take a look at what is probably the most well-known competition on Kaggle: Titanic - Machine Learning from Disaster The problem The task here is pretty simple: Given some information about a passenger on the Titanic, predict if the passenger will survive or not. The data given is already split into train and test sets, and to make a submission, the competitors must send ...</summary> </entry> <entry><title>RTG #1: Song lyrics</title><link href="https://pacifis.org/pt-BR/posts/rtg-1-song-lyrics/" rel="alternate" type="text/html" title="RTG #1: Song lyrics" /><published>2023-01-18T17:42:00-03:00</published> <updated>2023-09-13T19:36:23-03:00</updated> <id>https://pacifis.org/posts/rtg-1-song-lyrics/</id> <content type="text/html" src="https://pacifis.org/posts/rtg-1-song-lyrics/" /> <author> <name>carlosgdcj</name> </author> <category term="Kaggle" /> <category term="RTG" /> <summary>In this article, I’ll discuss a bit about my experience working with the 5 Million Song Lyrics Dataset, which contains data from Genius, a place where anyone can update information on songs from their favorite artists! Loading the data Unzipped, the dataset is almost 9GB in size, which makes it difficult to work with, especially when most of the size comes from big strings of text (the song ly...</summary> </entry> </feed>
