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  <title>Python Projects - Caleb's Portfolio</title>
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    <h1>Python Projects</h1>
    <p class="intro">Machine learning experiments and data processing applications</p>

    <section aria-labelledby="about-python">
      <h2 id="about-python">About These Projects</h2>
      <p>My Python work focuses on machine learning, neural networks, and data processing. These projects represent my exploration into artificial intelligence and computational algorithms.</p>
      <p>All Python source code is available on GitHub and can be run directly with Python 3. No downloads required - just clone and run!</p>
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      <h2 id="ml-projects">Machine Learning Projects</h2>

      <h3>Neural Networks</h3>
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        <li>
          <a href="https://github.com/calebhk98/Recurrent-Neural-Network" target="_blank" rel="noopener noreferrer">
            <strong>Recurrent Neural Network</strong>
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          <p>A custom recurrent neural network implementation with a unique architecture. Unlike traditional RNNs, this network uses a 6-node design for each processing unit, allowing for more complex pattern recognition and temporal dependencies.</p>
          <p><strong>Technologies:</strong> Python, NumPy, custom neural network architecture</p>
          <p><strong>Status:</strong> Prototype/Experimental</p>
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      <h3>Data Processing & Algorithms</h3>
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          <a href="https://github.com/calebhk98/Python-Job-Dating" target="_blank" rel="noopener noreferrer">
            <strong>Job Dating System</strong>
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          <p>An intelligent matching system designed to pair people with suitable jobs based on skills, preferences, and requirements. Uses algorithmic matching to optimize person-to-job fit.</p>
          <p><strong>Technologies:</strong> Python, matching algorithms, data structures</p>
          <p><strong>Status:</strong> In Development</p>
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      <h2 id="learning-python">Skills Developed</h2>
      <p>Through these Python projects, I've gained experience in:</p>
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        <li>Neural network design and implementation</li>
        <li>Machine learning fundamentals</li>
        <li>Algorithm development and optimization</li>
        <li>NumPy and scientific computing libraries</li>
        <li>Data structures and efficient processing</li>
        <li>Mathematical modeling and computation</li>
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      <h2 id="future-projects">Future Directions</h2>
      <p>I'm planning to expand my Python portfolio with:</p>
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        <li>Deep learning frameworks (TensorFlow, PyTorch)</li>
        <li>Computer vision applications</li>
        <li>Natural language processing projects</li>
        <li>Data visualization and analytics tools</li>
        <li>API development with Flask or FastAPI</li>
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