Houses a series of projects I worked on for a course in Data Mining that I took in my Ph.D. Data Science program at UTEP in the Fall of 2022. Covers areas such as Regularized Logistic Regression, Optimization, Kernel Methods, PageRank, Kernel PCA, Association Rule Mining, Anomaly Detection, Parametric/Nonparametric Nonlinear Regression, etc.
random-forest pagerank regression mars artificial-neural-networks gam kernel-methods support-vector-machines generalized-additive-models anomaly-detection kernel-pca regression-splines smoothing-splines association-rule-mining regularized multivariate-adaptive-regression-splines projection-pursuit-regression parametric-nonlinear-regression nonparametric-nonlinear-regression
- Updated
Feb 8, 2024