Visual Knowledge Discovery tools for interactively visualizing, exploring, and identifying complex n-D data patterns in multivariate CSV data, to visualize machine learning classifier models.
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Updated
Apr 14, 2024 - Python
Visual Knowledge Discovery tools for interactively visualizing, exploring, and identifying complex n-D data patterns in multivariate CSV data, to visualize machine learning classifier models.
Automated Scientific Discovery
MCMC algorithms to sample random bipartite graphs with given left and right degree sequences and BJDM.
This project is a course requirement for DSBA-6162, Knowledge Discovery in Databases, at UNCC, Fall 2021.
ROhAN: Row-Order Agnostic Null Models for Statistically-sound Knowledge Discovery
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