https://github.com/motapinto/feup-iart
Content and solved exercises from the course unit Artificial Intelligence
https://github.com/motapinto/feup-iart
artificial-intelligence breadth-first-search depth-first-search feup feup-iart genetic-algorithm hill-climbing-search informed-search machine-learning mieic reinforcement-learning simulated-annealing supervised-learning tabu-search uniform-cost-search unsupervised-learning
Last synced: about 2 months ago
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Content and solved exercises from the course unit Artificial Intelligence
- Host: GitHub
- URL: https://github.com/motapinto/feup-iart
- Owner: motapinto
- Created: 2020-01-13T11:50:07.000Z (almost 6 years ago)
- Default Branch: master
- Last Pushed: 2020-07-11T18:41:30.000Z (over 5 years ago)
- Last Synced: 2025-03-21T21:29:56.405Z (7 months ago)
- Topics: artificial-intelligence, breadth-first-search, depth-first-search, feup, feup-iart, genetic-algorithm, hill-climbing-search, informed-search, machine-learning, mieic, reinforcement-learning, simulated-annealing, supervised-learning, tabu-search, uniform-cost-search, unsupervised-learning
- Language: Python
- Homepage:
- Size: 56.7 MB
- Stars: 2
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# IART
**2019/2020** - 3rd Year, 2nd Semester\
**Course:** [Inteligência Artificial](https://sigarra.up.pt/feup/pt/UCURR_GERAL.FICHA_UC_VIEW?pv_ocorrencia_id=436449) | [*Artificial Intelligence*](https://sigarra.up.pt/feup/en/UCURR_GERAL.FICHA_UC_VIEW?pv_ocorrencia_id=436449)**Projects developed by:**
- [Martim Silva](https://github.com/motapinto)
- [Luís Ramos](https://github.com/luispramos)
- [Francisco Gonçalves ](https://github.com/kiko-g)|Project Number|Project Name|Description|
|:------------:|:----------:|:---------:|
|1|[Self Driving Rides](https://github.com/motapinto/google-hashcode-2018)|Python implementation of optimization algorithms (solution to google hashcode 2018)|
|2|[Football Predictions](https://github.com/motapinto/football-classification-predications)|Machine Learning and Python to predict the outcome of football matches|**Disclaimer** - This repository was created for educational purposes and we do not take any responsibility for anything related to its content. You are free to use any code or algorithm you find, but do so at your own risk.