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Binary Classification for detecting intrusion network attacks. In order, to emphasize how a network packet with certain features may have the potentials to become a serious threat to the network.

  • Updated Dec 19, 2021
  • Jupyter Notebook

To build a predictive model using machine learning to predict the probability of a device failure. When building this model, be sure to minimize false positives and false negatives. The column you are trying to Predict is called failure with binary value 0 for non-failure and 1 for failure.

  • Updated Jan 8, 2024
  • Jupyter Notebook

The labs cover the full breadth of machine learning concepts—from linear models and optimization to decision trees, ensemble methods, kernel-based SVMs, unsupervised learning, Bayesian inference, and explainable AI—through a mix of theory, Python coding, and real-world datasets.

  • Updated Jun 24, 2025
  • Python

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