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  <h1 class="page-heading">Disciplinas</h1>  
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      <li class="list-group-item"><a href="https://github.com/ifg-IA">Inteligência Artificial (Tecnologia em Análise e Desenvolvimento de Sistemas</a></li>
      <li class="list-group-item"><a href="https://github.com/Modelagem-de-Dados-IA">Modelagem de Dados para Inteligência Artificial (Especialização em Inteligência Artificial Aplicada</li>
    </ul>
  
    <h1 class="page-heading">Recursos</h1>  
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      <li class="list-group-item"><a href="https://github.com/ifg-jatai/github-fundamentals">Fundamentos do GitHub</a></li>
      <li class="list-group-item"><a href="https://drive.google.com/file/d/1uV5ii0fBj4gr1xn59XQNDaIoj-AL3ZVM/view?usp=drive_link">Livro Machine Learning</a></li>
      <li class="list-group-item"><a href="https://drive.google.com/file/d/1dMUv3eULwcee1sfIBAUdCAGd5xCzhlWW/view?usp=sharing">Livro Python for Data Analysis</a></li>
      <li class="list-group-item"><a href="https://github.com/gassis/machine_learning/tree/4733c3d15cf8157e470fed887302f1ee2426802e/slides/Programacao_Python">Slides Programação Python</a></li>      
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    <h1 class="page-heading">Atividades Avaliativas</h1>  
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      <ul>
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          <li class="list-group-item"><a href="https://github.com/gassis/machine_learning/blob/552fabec7a2fe7cb0d96d2540e483a4e4ea72186/tutorial/Modelagem%20de%20Dados%20para%20IA_Parte%201.ipynb">Material para Auto-tutoria - Realizar as partes de 1 a 5</a></li>
          <li class="list-group-item"><a href="https://github.com/gassis/machine_learning/blob/main/Activities/KCHouse_Regression.ipynb">Notebook - KCHouse (Regression Analysis for Prediction)</a></li>          
        </ul>
    </ul>
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