Over the years I have given many presentations about how to use machine learning to classify text documents. I wanted to create a notebook that would serve as a template for such presentations, allowing me to quickly demonstrate the process of text classification using machine learning techniques. The problem of text classification is a common task in natural language processing, where the goal is to assign predefined categories to text documents based on their content. This notebook demonstrates how to classify documents from the 20 Newsgroups dataset using a decision tree classifier. We will preprocess the text data, extract features using a bag-of-words model, train a classifier, and evaluate its performance.
Read more…Hi, I’m Alex
I’m a data scientist and engineer with a background in artificial intelligence from the Rijksuniversiteit Groningen. I’m interested in open source software, DIY, Dungeons and Dragons and games in general. I live in Leeuwarden with my wife and kids.
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Pim Pam Pet is a Dutch game that is played with cards. The game is played with a deck of cards that have different categories on them, such as animals, countries, and colors. The goal of the game is to collect as many cards as possible by being the first to shout out a word that fits the category on the card.
Read more…A nostalgic memory of a multiplication tables game from childhood inspired this project. I looked at the national archive for dutch educational games but could not find it. So I decided to recreate it for my son and use this opportunity to explore coding with Copilot. This project aims to build a web-based game from scratch, despite my limited experience with JavaScript and game development. The model I used is OpenAI’s GPT-4o.
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