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model-verification

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One of the biggest barriers to widespread machine learning adoption is the difficulty in collecting a 'good' dataset. There is an overall consensus that a 'good' dataset is a big dataset, but we believe that we can do better. As such the VennData project was created to develop tools to guide in the collection, curation, augmentation and validati…

  • Updated Dec 13, 2020
  • Jupyter Notebook

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

  • Updated Jul 30, 2024
  • Jupyter Notebook

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