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Search: machine-learning-systems-design
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Showing 3 results from 93
UrbsLab/heros
GitHub Jupyter Notebook OtherThe Heuristic Evolutionary Rule Optimization System (HEROS) is a supervised rule-based machine learning algorithm designed to agnostically model diverse structured data problems and yield compact human interpretable solutions. This implementation is scikit-learn compatible.
External source
GitHub
abhikkonar05/Air-Quality-Prediction-Analysis-System
GitHub Python MIT LicenseAeroSense Analytics is a machine learningβpowered air quality prediction and classification system designed to assess environmental conditions with high accuracy. The project uses advanced data preprocessing, feature engineering, and multiple supervised learning algorithms to predict and classif... Read more
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GitHub
Brionengine/Brion-Quantum-A.I.-agent-general-system
GitHub Python MIT LicenseβοΈ Ryan βοΈ Q.T. agent is an advanced, quantum A.I. general system designed to integrate quantum computing, AI-powered optimization, and automated workflows. This project capitalizes on the convergence of parallel processing and machine learning to maximize performance and scalability.
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GitHub
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