Forecasting wastewater time-series with Generalized Additive Model (GAM)
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Updated
Nov 28, 2023 - Jupyter Notebook
Forecasting wastewater time-series with Generalized Additive Model (GAM)
A simple GAM googletag architecture implementation allowing easy feature plugin with separation of concern and timeouts for better scallability and performances
My scripts from BL5233 lectures and practicals.
Penalized survival model using mgcv package in R
Boosting models for fitting generalized additive models for location, shape and scale (GAMLSS) to potentially high dimensional data. The current relase version can be found on CRAN (https://cran.r-project.org/package=gamboostLSS).
A replica of the classic arcade Road Fighter game made in x86 Assmebly Language
Code for full subsets model fitting using GA(M)M
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.
A Powershell script to provide a more interactive interface of some of the functions of GAM (Google Apps Manager)
Statistical modeling and simple ML
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