Machine Learning based Fault Detection in machines using sensor data

OpenCV Machine Learning samples

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.

Precision Tree Module for precision decision analysis, supporting custom nodes (Decision, Chance, and Payoff) with visualization and optimal path calculation.

A repository with our team's final Python project in MGMT 590 Analyzing Unstructured Data course at Krannert School of Management, Purdue University.