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Develop a multi-client server using the Miller-Rabin primality test. Implement polling, proactor patterns, and a producer-consumer model for efficient processing and reporting of prime candidates i…
ML pipeline predicting next‐day up/down moves of 200 Russell 2000 small‑cap stocks (2015–2025) using technical indicators (SMA, RSI, MACD) with Logistic Regression, AdaBoost & Random Forest.
Machine learning models for predicting pedestrian volume at street level using sensor data and OpenStreetMap features. Supports transfer learning to estimate foot traffic in new cities for urban pl…