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</pre>
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<hr>
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<ul>
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## 📊 Results
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<h1>📊 Results</h1>
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<li>Logistic Regression achieved ~85% accuracy on validation data</li>
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<li>Clean UI for sentiment prediction</li>
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<li>Fully automated CI/CD pipeline with Docker integration</li>
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</ul>
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<hr>
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<ul>
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##Key Takeaways
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<h1>Key Takeaways</h1>
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<li>Built a complete ML workflow: from preprocessing → training → deployment</li>
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<li>Learned to ensure preprocessing consistency between training & inference</li>
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<li>Containerized the app for reproducibility</li>
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<li>Automated CI/CD with GitHub Actions</li>
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<li>Gained experience with MLOps fundamentals</li>
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</ul>
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<hr>
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##Setup Instructions
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<h1>Setup Instructions</h1>
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<pre>
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## Clone repo
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git clone https://github.com/<your-username>/sentiment-analysis.git
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<h3>or run in Docker:</h3>
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<pre>docker-compose up --build</pre>
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<hr>
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##Author
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<h1>Author</h1>
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<h2>Sameer Chauhan</h2>
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<h5>MLOps & Machine Learning Engineer</h5>
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<h5>💼 Passionate about bridging ML with real-world deployment through Docker, CI/CD, and automation.</h5>

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