aosman101/Stock-Market-Prediction
Stock Market Prediction Using LSTM Networks - This project employs LSTM deep learning to forecast equity prices, achieving an R² of 0.95, a mean absolute error of $2.4, and 87% directional accuracy. A KNN baseline serves as a benchmark, highlighting the importance of reproducibility and robust risk-adjusted metrics.
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Jupyter Notebook
License
MIT
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Last pushed
Mar 16, 2026
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