This repository explores machine learning techniques in Python to model and predict outcomes based on diverse factors. It includes implementation of algorithms like Random Forests, Gradient Boosting, and Neural Networks, providing a foundation for predictive analytics across various domains.
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This repository explores machine learning techniques in Python to model and predict outcomes based on diverse factors. It includes implementation of algorithms like Random Forests, Gradient Boosting, and Neural Networks, providing a foundation for predictive analytics across various domains.
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rsipakov/PredictiveFactorsMLPython
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This repository explores machine learning techniques in Python to model and predict outcomes based on diverse factors. It includes implementation of algorithms like Random Forests, Gradient Boosting, and Neural Networks, providing a foundation for predictive analytics across various domains.
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