The project builds a Bayesian Network using pressure sensor data to detect pipe leaks, employing probabilistic reasoning to determine the likelihood of leaks based on sensor readings. It involves loading dataset, defining network structure, calculating CPDs, adding them to model, and using Variable Elimination algorithm for inference
python csv numpy probability inference pandas cpd bayesian-networks probabilistic-graphical-models dag data-frames pgmpy model-verification pressure-sensors variable-elimination-algorithm
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Updated
Jul 30, 2024 - Jupyter Notebook