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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.

anomaly-detection association-rule-mining kernel-methods kernel-pca pagerank regression regression-splines regularized smoothing-splines artificial-neural-networks

data-mining-projects's Introduction

  • ๐Ÿ‘‹ Hi, Iโ€™m William Agyapong
  • ๐Ÿ‘€ Iโ€™m interested in Statistical Computing, Data Science, and Web Development
  • ๐ŸŒฑ Proficient in Data Science using R and Python
  • ๐Ÿ’ž๏ธ Iโ€™m looking to collaborate on Statistical Software and Data Science projects
  • ๐ŸŽฏ My goal is to help create software tools to advance the practice and learning of Data Science
  • ๐Ÿ“ซ How to reach me: [email protected]

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