{"id":23072357,"url":"https://github.com/kaladabrio2020/machine-learning","last_synced_at":"2025-06-19T08:34:54.287Z","repository":{"id":198928931,"uuid":"700034955","full_name":"kaladabrio2020/machine-learning","owner":"kaladabrio2020","description":"Times Series, Classification-label/image, Regression","archived":false,"fork":false,"pushed_at":"2025-03-07T20:05:16.000Z","size":292577,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-04-03T10:44:28.643Z","etag":null,"topics":["classification","clustering","cross-validation","discretization","keras-tensorflow","machine-learning","prevision","python3","sklearn","time-series"],"latest_commit_sha":null,"homepage":"","language":"Jupyter 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Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"\u003cdiv align=\"center\"\u003e\n    \u003cimg src=\"https://images.pexels.com/photos/4578660/pexels-photo-4578660.jpeg?auto=compress\u0026cs=tinysrgb\u0026w=1260\u0026h=750\u0026dpr=1\" height=\"300\" /\u003e\n\u003c/div\u003e\n\n# 📌 Machine Learning Project\nEste repositório contém implementações de diversos modelos de Machine Learning aplicados a diferentes conjuntos de dados para resolver problemas de **classificação** e **regressão**.\n\n## 📂 Datasets Utilizados\n\n### 🏡 Previsão de Preço de Casas (Regressão) ✔️\n📌 [Notebook](ml-regression/housePrice_reg.ipynb)\n\n### 🏥 Diagnóstico de Diabetes (Classificação) ✔️\n📌 [Notebook](ml-classification/diabetes_clas.ipynb)\n\n### 📉 Previsão de Preços de Criptomoedas (Regressão) ⚙️ *(Em progresso)*\n* **Método 1:** [Notebook](ml-regression/cryptoPrices_reg1.ipynb)  \n  * Os dados foram agrupados para evitar desbalanceamento.\n* **Método 2:** [Notebook](ml-regression/cryptoPrices_reg2.ipynb)  \n  * Cada conjunto de dados possui sua própria predição.\n\n### 🧠 Acidente Vascular Cerebral (Classificação) ✔️\n📌 [Notebook](ml-classification/stroke_clas.ipynb)\n\n### 🚢 Sobreviventes do Titanic (Classificação) ✔️\n📌 [Notebook](ml-classification/titanic_clas.ipynb)\n\n### 🌙 Distúrbio do Sono *(Projeto antigo)* ✔️\n📌 [Notebook](ml-classification/DisturbioDoSono_clas.ipynb)\n\n\n\n---\n\n## 🛠 Tecnologias e Ferramentas Utilizadas\n\n![Visual Studio Code](https://img.shields.io/badge/Visual%20Studio%20Code-0078d7.svg?style=for-the-badge\u0026logo=visual-studio-code\u0026logoColor=white)\n![Jupyter Notebook](https://img.shields.io/badge/jupyter-%23FA0F00.svg?style=for-the-badge\u0026logo=jupyter\u0026logoColor=white)\n![Keras](https://img.shields.io/badge/Keras-%23D00000.svg?style=for-the-badge\u0026logo=Keras\u0026logoColor=white)\n![Matplotlib](https://img.shields.io/badge/Matplotlib-%23ffffff.svg?style=for-the-badge\u0026logo=Matplotlib\u0026logoColor=black)\n![Pandas](https://img.shields.io/badge/pandas-%23150458.svg?style=for-the-badge\u0026logo=pandas\u0026logoColor=white)\n![scikit-learn](https://img.shields.io/badge/scikit--learn-%23F7931E.svg?style=for-the-badge\u0026logo=scikit-learn\u0026logoColor=white)\n\n---\n\n## 📦 Dependências\nPara instalar todas as bibliotecas necessárias:\n```bash\npip install -r libs/requeriments.txt\n```\n📌 [Lista de Bibliotecas](libs/requeriments.txt)\n\n---\n\n## 🚀 Como Executar os Notebooks\n1. Clone o repositório:\n   ```bash\n   git clone https://github.com/seu-usuario/seu-repositorio.git\n   ```\n2. Acesse a pasta do projeto:\n   ```bash\n   cd seu-repositorio\n   ```\n3. Instale as dependências:\n   ```bash\n   pip install -r libs/requeriments.txt\n   ```\n4. Execute o Jupyter Notebook:\n   ```bash\n   jupyter notebook\n   ```\n\nAgora, basta abrir qualquer notebook e rodar os experimentos! 🎯\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkaladabrio2020%2Fmachine-learning","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fkaladabrio2020%2Fmachine-learning","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkaladabrio2020%2Fmachine-learning/lists"}