{"id":21525493,"url":"https://github.com/estevesx10/eiacd-video-games","last_synced_at":"2025-03-17T18:19:27.857Z","repository":{"id":245345103,"uuid":"641512896","full_name":"EstevesX10/EIACD-Video-Games","owner":"EstevesX10","description":"Video Games Dataset Analysis [Elements of AI \u0026 DS Course Project]","archived":false,"fork":false,"pushed_at":"2024-06-20T21:44:44.000Z","size":13834,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-01-24T05:27:37.005Z","etag":null,"topics":["decision-tree-classifier","exploratory-data-analysis","feature-engineering","knn-classifier"],"latest_commit_sha":null,"homepage":"","language":"Jupyter 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Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"\u003cdiv align=\"center\"\u003e\n    \u003ch1\u003eEIACD | Video Games\u003c/h1\u003e\n\u003c/div\u003e\n\n\u003cp align=\"center\" width=\"100%\"\u003e\n    \u003cimg src=\"./Video Games/Assets/README/NintendoController.gif\" width=\"40%\" height=\"40%\" /\u003e\n\u003c/p\u003e\n\n\u003cdiv align=\"center\"\u003e\n    \u003ca\u003e\n        \u003cimg src=\"https://img.shields.io/badge/Made%20with-Jupyter-87CEFA?style=for-the-badge\u0026logo=Jupyter\u0026logoColor=87CEFA\"\u003e\n    \u003c/a\u003e\n\u003c/div\u003e\n\n\u003cbr/\u003e\n\n\u003cdiv align=\"center\"\u003e\n    \u003ca href=\"https://github.com/EstevesX10/EIACD-Video-Games/blob/main/LICENSE\"\u003e\n        \u003cimg src=\"https://img.shields.io/github/license/EstevesX10/AI-Decision-Trees-ID3?style=flat\u0026logo=gitbook\u0026logoColor=87CEFA\u0026label=License\u0026color=87CEFA\"\u003e\n    \u003c/a\u003e\n    \u003ca href=\"\"\u003e\n        \u003cimg src=\"https://img.shields.io/github/repo-size/EstevesX10/EIACD-Video-Games?style=flat\u0026logo=googlecloudstorage\u0026logoColor=87CEFA\u0026logoSize=auto\u0026label=Repository%20Size\u0026color=87CEFA\"\u003e\n    \u003c/a\u003e\n    \u003ca href=\"\"\u003e\n        \u003cimg src=\"https://img.shields.io/github/stars/EstevesX10/EIACD-Video-Games?style=flat\u0026logo=adafruit\u0026logoColor=87CEFA\u0026logoSize=auto\u0026label=Stars\u0026color=87CEFA\"\u003e\n    \u003c/a\u003e\n    \u003ca href=\"https://github.com/EstevesX10/EIACD-Video-Games/blob/main/requirements.txt\"\u003e\n        \u003cimg src=\"https://img.shields.io/badge/Dependencies-Requirements.txt-white?style=flat\u0026logo=anaconda\u0026logoColor=87CEFA\u0026logoSize=auto\u0026color=87CEFA\"\u003e \n    \u003c/a\u003e\n\u003c/div\u003e\n\n## Formulação do Problema\nAtualmente, dada a elevada **competitividade** na indústria dos **jogos eletrónicos**, torna-se importante, para uma empresa, **prever** o sucesso adjacente ao lançamento do seu produto no mercado. Um dos principais aspetos a ter em conta nesta previsão são as **reviews dos consumidores**. Deste modo, obtém-se o seguinte **problema de classificação**: \n\n\u003e**\u003cdiv align=\"center\" style=\"font-size:17px;\"\u003e\n    Qual o user_rating do vídeo jogo?\n    \u003c/div\u003e**\n\n\u003cbr/\u003e\n\n\u003cdiv align=\"center\"\u003e\n    \u003cimg src=\"./Video Games/Assets/README/GodOfWar.jpg\"\u003e\n\u003c/div\u003e\n\n## Pré-Requisitos\nDe forma a compilar e executar o programa são necessários vários pré-requiitos:\n- **[Anaconda](https://www.anaconda.com/)** (Distribuição de Python e R)\n- **[Bibliotecas Python](#bibliotecas-python)** (**[Pandas](https://pandas.pydata.org/pandas-docs/stable/getting_started/install.html)**, **[Numpy](https://numpy.org/install/)**, **[MatpltLib](https://matplotlib.org/stable/users/installing/index.html)**, **[Seaborn](https://seaborn.pydata.org/installing.html)** e **[Scikit-Learn](https://scikit-learn.org/stable/install.html)**)\n\n### Bibliotecas Python\n\nAssim, de forma a instalar as bibliotecas necessárias basta executar o **comando** no terminal **Anaconda**:\n\n    pip install -r requirements.txt\n\n## Compilação e Execução\nDe forma a compilar e executar o ficheiro, será necessário aceder à Anaconda Prompt e executar o comando:  \n\n    jupyter notebook\n\nApós a execução deste comando deverá copiar o **URL** (exemplo abaixo) e colar num separador web:\n \n\u003cdiv align=\"center\"\u003e\n    \u003cimg src=\"./Video Games/Assets/README/Anaconda_Prompt_URL.png\"\u003e\n\u003c/div\u003e\n\nDesta forma, terá de aceder ao **diretório** onde o **ficheiro** está armazenado. Neste, deve selecioná-lo de forma abri-lo.\n\nDe seguida de forma a executar as várias **células** presentes no documento, poderá executar `Shift + Enter` com o intuito de corrê-las de **forma sequencial**. Analogamente, poderá recorrer aos múltiplos botões presentes na interface gráfica do **jupyter notebook** dado proporcionarem uma panóplia de ações sobre a manipulação do **fluxo de execução do programa**.\n\n\u003cdiv align=\"center\"\u003e\n    \u003cimg src=\"./Video Games/Assets/README/Jupyter_Notebook_UI.png\"\u003e\n\u003c/div\u003e\n\n\u003cbr/\u003e\n\nCaso esteja com **dificuldades**, verifique que possui todos os pré-requisitos mencionados **[anteriormente](#pré-requisitos)** e tente novamente. \nPor fim, se o problema persistir não hesite em **[contactar-nos](#considerações-finais)**.\n\n## Resolução do Problema\n\nDe forma a dar resposta ao **Problema**, foi-nos fornecido um **dataset** com dados de cerca de 6000 video jogos. Partindo destes, foi-nos possível realizar tanto a sua **análise exploratória** como a respetiva **feature engineering**. \n\nPor fim, após esta manipulação e tratamento de dados, apenas resta criar um **modelo preditivo** capaz de classificar qualquer vídeo jogo e avaliar a sua **performance**.\n\n\u003cbr/\u003e\n\n\u003cdiv align=\"center\"\u003e\n    \u003cimg src=\"./Video Games/Assets/README/TheLastOfUs.jpg\"\u003e\n\u003c/div\u003e\n\n# Considerações Finais\n\nSe existir alguma **dificuldade** no download ou execução da aplicação não hesite em contactar-nos:\n- **Via email**: \n    - [Gonçalo Esteves](https://github.com/EstevesX10) - `up202203947@up.pt`\n    - [Nuno Gomes](https://github.com/NightF0x26) - `up202206195@up.pt`\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Festevesx10%2Feiacd-video-games","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Festevesx10%2Feiacd-video-games","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Festevesx10%2Feiacd-video-games/lists"}