# Python libraries required for the ML component
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numpy>=1.21.0
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pandas>=1.3.0
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scikit-learn>=1.0.0
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xgboost>=1.6.0
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yfinance>=0.1.87
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requests>=2.28.0
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packaging>=21.0
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skl2onnx>=1.12.0
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onnxmltools>=1.12.0
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onnxconverter-common>=1.12.0
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onnx>=1.12.0
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# Production WSGI server (Windows-compatible, pure Python)
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waitress>=2.1.2
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# Neurobook optimizations (PyTorch for Python 3.14+ compatibility)
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torch>=2.0.0
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torchvision>=0.15.0
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joblib>=1.2.0
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