command line management for Google Workspace
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Updated
May 30, 2024 - Python
command line management for Google Workspace
ggplot-based graphics and useful functions for GAMs fitted using the mgcv package
Bindings for Additive TidyModels
Code library for common machine learning algorithms
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.
Generalized Additive Models in Python.
Resources and Guides for our Google Workspace
A document introducing generalized additive models.📈
Automated line item generator for Prebid.js and Google Ad Manager
Boosting algorithms for fitting generalized linear, additive and interaction models to potentially high-dimensional data. The current relase version can be found on CRAN (http://cran.r-project.org/package=mboost).
Forecasting wastewater time-series with Generalized Additive Model (GAM)
Open-source visual effects designed in Godot, from our VFX Secrets course.
A Powershell script to provide a more interactive interface of some of the functions of GAM (Google Apps Manager)
Applying Neural Networks, Generalized additive model, logistic regression, linear regression, multiclass classification in r
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