intel.ligencia-artificial

Repository dedicated to save and share material of the subject Intel·ligència Artificial taught in Computer Engineering at UIB.

https://github.com/helveticka/intel.ligencia-artificial

Science Score: 44.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
    Found CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
  • Academic publication links
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (4.7%) to scientific vocabulary

Keywords

ai jupyter-notebook machine-learning reinforcement-learning
Last synced: 10 months ago · JSON representation ·

Repository

Repository dedicated to save and share material of the subject Intel·ligència Artificial taught in Computer Engineering at UIB.

Basic Info
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Topics
ai jupyter-notebook machine-learning reinforcement-learning
Created over 1 year ago · Last pushed over 1 year ago
Metadata Files
Readme License Citation

README.md

Intel·ligència Artificial - 21722

Content

Here, there are three saved directories, each one storing a different kind of project about AI.

P1: searches

The first project is an introduction to the subject, in which diverse searching algorithm techniques are developed, such as Depth-First Uninformed Search and the A* algorithm. These algorithms are used and compared in a labyrinthine scenario.

P2: reinforcement learning

This directory stores a project about reinforcement learning. Its goal is to compare two algorithms: SARSA and Q-learning.

P3: machine learning

The final and most extensive project is a complete Jupyter Notebook where we apply the following machine learning models: Perceptron, Logistic Regression, SVM, Decision Trees, and Random Forests. These models are executed and compared when applied to the same dataset, which is previously analyzed and cleaned.

Authors

Developed by Marc Ferrer, Miquel Àngel Llauger & Harpo Joan: - P1: by M. Ferrer & H. Joan - P2: by M. Ferrer & H. Joan - P3: by M.A. Llauger & H. Joan

License

This repository is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. Copyright (c) 2025 Marc Ferrer, Miquel Àngel Llauger & Harpo Joan

Owner

  • Name: Harpo
  • Login: helveticka
  • Kind: user
  • Location: Palma
  • Company: UIB

Computer Engineering student.

Citation (CITATION.cff)

cff-version: 1.2.0
authors:
- family-names: "Ferrer"
  given-names: "Marc"
- family-names: "Llauger"
  given-names: "Miquel Àngel"
- family-names: "Joan"
  given-names: "Harpo"
title: "Pràctiques d'Intel·ligència Artificial"
date-released: "2025"
url: "https://github.com/helveticka/intel.ligencia-artificial"

GitHub Events

Total
  • Push event: 7
  • Public event: 1
Last Year
  • Push event: 7
  • Public event: 1

Dependencies

requirements.txt pypi
  • matplotlib ==3.9.2
  • numpy ==2.1.0
  • pandas ==2.2.2
  • pygame ==2.6.0
  • scikit-learn ==1.5.1
  • scipy ==1.14.1
  • tqdm ==4.66.5