Collection of must read papers for Data Science, or Machine Learning / Deep Learning Engineer

ggplot-based graphics and useful functions for GAMs fitted using the mgcv package

{mvgam} R 📦 to fit Dynamic Bayesian Generalized Additive Models for time series analysis and forecasting

A document introducing generalized additive models.📈

This is a Statistical Learning application which will consist of various Machine Learning algorithms and their implementation in R done by me and their in depth interpretation.Documents and reports related to the below mentioned techniques can be found on my Rpubs profile.

A workshop on using generalized additive models and the mgcv package.

ggplot-based graphics and useful functions for GAMs fitted using the mgcv package

GAMI-Net: Generalized Additive Models with Structured Interactions

Ecological forecasting using Dynamic Generalized Additive Models with R 📦's {mvgam} and {brms}

Fit, evaluate, and visualise generalised additive models (GAMs) in native Julia

An R package for estimating generalized additive mixed models with latent variables

Personal coach to help you obtain desired AI decisions!

An introduction to GAM(M)s

Workshop 8 - Generalized additive models (GAMs)

A function that takes as input a cropped text line image, and outputs the dewarped image.

This repository contains the script and figures of the conference paper selected for presentation at the Latin American Conference of Computationa Intelligence 2018. The abstract of the paper is as follows: Crime is an important social and economic problem of South Africa. Though certain categories of crimes are of serious proportions, yet on ag…

Paper on identifying patterns in economic development using statistical learning

Bindings for Additive TidyModels

GAM workshop for NHS-R Community Conference 2023

Resolution-independent normalization of Hi-C data