command line management for Google Workspace
-
Updated
Sep 20, 2024 - Python
command line management for Google Workspace
An R package which provides a a neural network framework based on Generalized Additive Models
ggplot-based graphics and useful functions for GAMs fitted using the mgcv package
Bindings for Additive TidyModels
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).
Example of ad batching with prebid.js and google publisher tags
Generalized Additive Model with estimation of smooth functions using Neural Networks
Automated line item generator for Prebid.js and Google Ad Manager
Resources and Guides for our Google Workspace
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.
A document introducing generalized additive models.📈
Forecasting wastewater time-series with Generalized Additive Model (GAM)
Open-source visual effects designed in Godot, from our VFX Secrets course.
Add a description, image, and links to the gam topic page so that developers can more easily learn about it.
To associate your repository with the gam topic, visit your repo's landing page and select "manage topics."