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 Algorithm, Kernel PCA, Association Rule Mining, Anomaly Detection, Parametric/Nonparametric Nonlinear Regression, etc. All the PDF reports were directly generated in RMarkdown. The RMarddown files which contain the source codes are made available. Enjoy and come back for more ...
-
Notifications
You must be signed in to change notification settings - Fork 0
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.
williamagyapong/data-mining-projects
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
About
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.
Topics
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
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published