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
This project is a course requirement for DSBA-6162, Knowledge Discovery in Databases, at UNCC, Fall 2021.
MCMC algorithms to sample random bipartite graphs with given left and right degree sequences and BJDM.
ROhAN: Row-Order Agnostic Null Models for Statistically-sound Knowledge Discovery
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