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This project focuses on developing a predictive maintenance framework using synthetic sensor data to simulate real-world machinery monitoring scenarios. It explores the use of a deep learning approach ...
A quantitative trading research project using machine learning to forecast short-term cryptocurrency price movements (BTC/USDT) at hourly and daily horizons. The pipeline covers data ingestion → ...
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